Mercurial > ift6266
changeset 496:e41007dd40e9
make the reference shorter.
| author | Frederic Bastien <nouiz@nouiz.org> |
|---|---|
| date | Tue, 01 Jun 2010 11:07:25 -0400 |
| parents | 5764a2ae1fb5 |
| children | 109ebd3e67c0 |
| files | writeup/ift6266_ml.bib writeup/ml.bib writeup/nips2010_submission.tex |
| diffstat | 3 files changed, 25817 insertions(+), 25817 deletions(-) [+] |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/writeup/ift6266_ml.bib Tue Jun 01 11:07:25 2010 -0400 @@ -0,0 +1,25811 @@ +%%WARNING: READ THE README FILE BEFORE ANY MODIFICATION!!! + + +%%submitted papers +%%% + +@Article{Bergstra+Bengio+Louradoj-2008sub, + author = "J. Bergstra and Y. Bengio and J. Louradour", + title = "Suitability of Complex Cell Models for Object Categorization", + journal = "Computational Neuroscience", + year = "2008", + note = "Rejected." +} +@Article{Bergstra+Bengio+Louradoj-2009sub, + author = "J. Bergstra and Y. Bengio and J. Louradour", + title = "Suitability of Complex Cell Models for Object Categorization", + journal = "Neural Computation", + year = "2009", + note = "Submitted." +} +@Article{Chapados+Bengio-2008sub, + author = "N. Chapados and Y. Bengio", + title = "Forecasting and Trading Commodity Contract Spreads with {G}aussian Processes", + journal = "International Journal of Forecasting", + year = "2008", + note = "Submitted.", +} +@Article{Chapados+Bengio-2008sub2, + author = "N. Chapados and Y. Bengio", + title = "Training Graphs of Learning Modules for Sequential Data", + journal = "ACM Transactions on Knowledge Discovery from Data", + year = "2008", + note = "Submitted.", +} + +%%% +%%accepted or published papers +%%% + +@Article{Grother, + author = "Grother Patrick J.", + title = "NIST special database. Handprinted forms and characters database", + publisher = "National institute of standards and technology", + year = "1995" +} + +@InCollection{Trentin+al-2002, + author = "E. Trentin and F. Brugnara and Y. Bengio and C. Furlanello and R. De Mori", + editor = "R. Daniloff", + booktitle = "Connectionist Approaches to Clinical Problems in Speech +and Language", + title = "Statistical and Neural Network Models for Speech Recognition", + publisher = "Lawrence Erlbaum", + pages = "213--264", + year = "2002", +} + +@InCollection{Bengio+grandvalet-2004, + author = "Y. Bengio and Y. Grandvalet", + editor = "P. Duchesne and B. Remillard", + booktitle = "Statistical Modeling and Analysis for Complex Data Problem", + title = "Bias in Estimating the Variance of K-Fold Cross-Validation", + publisher = "Lawrence Erlbaum", + address = "Kluwer", + pages = "75--95", + year = "2004", +} + +@InCollection{Dugas+al-2004, + author = "C. Dugas and Y. Bengio and N. Chapados and P. Vincent and G. Denoncourt and C. Fournier", + editor = "L. Jain and A.F. Shapiro", + booktitle = "Intelligent and Other Computational Techniques in Insurance: Theory and +Applications", + title = "Statistical Learning Algorithms Applied to Automobile Insurance Ratemaking", + publisher = "World Scientific Publishing Company", + year = "2004", +} + +@InCollection{Dugas+al-2004-short, + author = "C. Dugas and Y. Bengio and N. Chapados and P. Vincent and G. Denoncourt and C. Fournier", + booktitle = "Intelligent and Other Computational Techniques in Insurance: Theory and +Applications", + title = "Statistical Learning Algorithms Applied to Automobile Insurance Ratemaking", + publisher = "World Scientific Publishing Company", + year = "2004", +} + +@inproceedings{Collobert+Bengio+Bengio-2002b, + author = "R. Collobert and Y. Bengio and S. Bengio", + title = {Scaling Large Learning Problems with Hard Parallel Mixtures}, + editor = "S.W. Lee and A. Verri", + year = 2002, + booktitle = SVM02, + volume = "2388 of Lecture Notes in Computer Science", + publisher = "Springer-Verlag", + pages = "8--23", +} + +@Article{Collobert+Bengio+Bengio-2003, + author = "R. Collobert and Y. Bengio and S. Bengio.", + title = "Scaling Large Learning Problems with Hard Parallel Mixtures", + journal = ijprai, + volume = "17", + number = "3", + pages = "349--365", + year = "2003", +} + +@Article{Collobert+Bengio+Bengio-2003-small, + author = "R. Collobert and Y. Bengio and S. Bengio.", + title = "Scaling Large Learning Problems with Hard Parallel Mixtures", + journal = "Int. J. Pattern Recognition and Artificial Intelligence", + volume = "17(3)", + pages = "349--365", + year = "2003", +} + +@InProceedings{Bengio+Chapados-2002, + author = "Y. Bengio and N. Chapados", + title = "Metric-based Model Selection for Time-Series Forecasting", + publisher = "IEEE Press", + editor = NIPS12ed, + booktitle = NIPS12, + year = "2002", + pages = "13--24", +} + +@InProceedings{Bengio+Takeuchi+Kanamori-2002, + author = "Y. Bengio and I. Takeuchi and K. Kanamori", + title = "The Challenge of Non-Linear Regression on Large Datasets with Asymmetric Heavy Tails", + publisher = "American Statistical Association publ.", + booktitle = JSM02, + year = "2002", + pages = "193-205" +} + +@InProceedings{Bengio+Takeuchi+Kanamori-2002-short, + author = "Y. Bengio and I. Takeuchi and K. Kanamori", + title = "The Challenge of Non-Linear Regression on Large Datasets with Asymmetric Heavy Tails", + booktitle = JSM02, + year = "2002", +} + +@InProceedings{Collobert+Bengio+Bengio-2002, + author = "R. Collobert ans S. Bengio and Y. Bengio", + title = "A Parallel Mixture of {SVM}s for Very Large Scale Problems", + booktitle = NIPS14, + editor = NIPS14ed, + pages = "633--640", + year = "2002", +} + +@InProceedings{Bhattacharya+Getoor+Bengio-2004, + author = "I. Bhattacharya and L. Getoor and Y. Bengio", + booktitle = "Conference of the Association for Computational Linguistics (ACL'04)", + title = "Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models", + year = "2004", +} +@InProceedings{Boufaden+Bengio+Lapalme-2008, + author = "N. Boufaden and Y. Bengio and G. Lapalme", + booktitle = "{\em TALN'2004}, Traitement Automatique du Langage Naturel.", + title = "Approche statistique pour le repérage de mots informatifs dans les textes oraux", + year = "2004", +} +@InProceedings{Chapados+Bengio-2006, + author = "N. Chapados and Y. Bengio", + booktitle = AI06, + title = "The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization", + pages = "491-502", + year = "2006", +} +@InProceedings{Rivest+Bengio+Kalaska-2005, + author = "F. Rivest and Y. Bengio and J. Kalaska", + editor = NIPS17ed, + booktitle = NIPS17, + title = "Brain Inspired Reinforcement Learning", + publisher = "MIT Press, Cambridge", + address = "Cambridge, MA", + pages = "1129-1136", + year = "2005", +} + +@InProceedings{Bengio+Grandvalet-NIPS-2004, + author = "Y. Bengio Y. and Y. Grandvalet", + editor = NIPS16ed, + booktitle = NIPS16, + title = "No Unbiased Estimator of the Variance of K-Fold Cross-Validation", + publisher = "MIT Press, Cambridge", + address = "Cambridge, MA", + year = "2004", +} + +@InProceedings{Bengio+Grandvalet-NIPS-2004-short, + author = "Y. Bengio Y. and Y. Grandvalet", + booktitle = NIPS16, + title = "No Unbiased Estimator of the Variance of K-Fold Cross-Validation", + publisher = "MIT Press, Cambridge", + year = "2004", +} + +@article{Zaccaro-et-al-2005, + author = {Maria Clara Zaccaro and Hong Boon Lee and Mookda Pattarawarapan and + Zebin Xia and Antoine Caron and Pierre-Jean L'Heureux and Yoshua Bengio + and Kevin Burgess and H. Uri Saragovi}, + title = {Selective Small Molecule Peptidomimetic Ligands of {TrkC} and {TrkA} Receptors Afford Discrete or Complete Neurotrophic Activities}, + journal = {Chemistry \& Biology}, + volume = 12, + number = 9, + pages = {1015--1028}, + year = 2005, +} + +@Article{63a:man, + author = "B. Mandelbrot", + title = "The variation of certain speculative prices", + journal = "Journal of Business", + volume = "36", + pages = "394--419", + year = "1963", + annote = "Référence pour les distributions stables en finance", +} + +@Article{65a:fam, + author = "E. F. 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Kang and R. F. Serfozo", + title = "Extreme values of phase-type and mixed random + variables with parallel-processing examples", + journal = "Journal of Applied Probability", + volume = "36", + pages = "194--210", + year = "1999", + annote = "limiting distribution of the maximum of r.v. i.i.d + from a mixture is determined by the component of the + mixture that has a dominant tail", +} + +@TechReport{Abdallah+Plumbley-06, + author = "Samer Abdallah and Mark Plumbley", + title = "Geometry Dependency Analysis", + number = "C4DM-TR06-05", + institution = "Center for Digital Music, Queen Mary, University of + London", + year = "2006", +} + +@Article{Abe+Warmuth92, + author = "N. Abe and M. K. Warmuth", + title = "On the Computational Complexity of Approximating + Distributions by Probabilistic Automata", + journal = "Machine Learning", + volume = "9", + month = jul, + year = "1992", +} + +@Article{Abu-Mostafa-hints, + author = "Y. S. 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Butler", + booktitle = icnn, + title = "A Learning Rule for Asynchronous Perceptrons with + Feedback in a Combinatorial Environment", + volume = "2", + publisher = "IEEE, New York", + address = "San Diego 1987", + pages = "609--618", + year = "1987", +} + +@InProceedings{Almeida88, + author = "L. B. Almeida", + editor = "R. Eckmiller and Ch. von der Malsburg", + booktitle = "Neural Computers", + title = "Backpropagation in Perceptrons with Feedback", + publisher = "Springer-Verlag, Berlin", + address = "Neuss 1987", + pages = "199--208", + year = "1988", +} + +@inproceedings{Almuallim+Dietterich-1991, + address = {Anaheim, California}, + author = {Almuallim, H. and Dietterich, T. G.}, + booktitle = {Proceedings of the Ninth National Conference on Artificial Intelligence}, + pages = {547--552}, + publisher = {AAAI Press}, + title = {Learning with many irrelevant features}, + url = "http://citeseer.ist.psu.edu/almuallim91learning.html", + volume = {2}, + year = {1991} +} + +@article{Almuallim+Dietterich-1994, + author = "Hussein Almuallim and Thomas G. Dietterich", + title = "Learning Boolean Concepts in the Presence of Many Irrelevant Features", + journal = "Artificial Intelligence", + volume = "69", + number = "1-2", + pages = "279-305", + year = "1994", + url = "citeseer.ist.psu.edu/almuallim94learning.html" +} + + +@InProceedings{Alspector87, + author = "J. Alspector and R. B. Allen", + editor = "P. Losleben", + booktitle = "Advanced Research in VLSI: Proceedings of the 1987 + Stanford Conference", + title = "A Neuromorphic {VLSI} Learning System", + publisher = "MIT Press, Cambridge", + pages = "313--349", + year = "1987", +} + +@InProceedings{Alspector88, + author = "J. Alspector and R. B. Allen and V. Hu and S. + Satyanarayana", + editor = nips87ed, + booktitle = nips87, + title = "Stochastic Learning Networks and Their Electronic + Implementation", + publisher = "American Institute of Physics, New York", + address = "Denver, CO", + pages = "9--21", + year = "1988", +} + +@Article{Amari+Wu-99, + author = "S. Amari and S. Wu", + title = "Improving {Support} {Vector} {Machine} classifiers by + modifying kernel functions", + journal = "Neural Networks", + volume = "12", + pages = "783--789", + year = "1999", +} + +@Article{amari00adaptive, + author = "{Shun-ichi} Amari and Hyeyoung Park and Kenji Fukumizu", + title = "Adaptive Method of Realizing Natural Gradient Learning + for Multilayer Perceptrons", + journal = "Neural Computation", + volume = "12", + number = "6", + pages = "1399--1409", + year = "2000", + URL = "citeseer.ist.psu.edu/amari98adaptive.html", +} + +@Article{Amari77, + author = "S. A. Amari", + title = "Dynamics of Pattern Formation in Lateral-Inhibition + Type Neural Fields", + journal = biocyb, + volume = "27", + pages = "77--87", + year = "1977", +} + +@Article{Amari80, + author = "S. A. Amari", + title = "Topographic Organization of Nerve Fields", + journal = bmbiol, + volume = "42", + pages = "339--364", + year = "1980", +} + +@Article{amari98natural, + author = "{Shun-ichi} Amari", + title = "Natural Gradient Works Efficiently in Learning", + journal = "Neural Computation", + volume = "10", + number = "2", + pages = "251--276", + year = "1998", + URL = "citeseer.ist.psu.edu/article/amari98natural.html", +} + +@Article{Amari99, + author = "S. Amari and S. Wu", + title = "Improving Support Vector Machine Classifiers by + Modifying Kernel Functions", + journal = "Neural Networks", + volume = "12", + number = "6", + pages = "783--789", + year = "1999", +} + +@article{AmariS1997, + author = {{Shun-ichi} Amari and Noboru Murata and Klaus-Robert M{\"u}ller and Michael Finke and Howard Hua Yang }, + journal = {IEEE Transactions on Neural Networks}, + keywords = {regularization}, + number = {5}, + pages = {985--996}, + title = {Asymptotic statistical theory of overtraining and cross-validation}, + volume = {8}, + year = {1997} +} + +@InProceedings{amaya01improvement, + author = "Fredy A. Amaya and Jose-Miguel Bened\`{i}", + booktitle = "Meeting of the Association for Computational + Linguistics", + title = "Improvement of a Whole Sentence Maximum Entropy + Language Model Using Grammatical Features", + pages = "10--17", + year = "2001", + URL = "citeseer.nj.nec.com/505752.html", +} + +@InProceedings{BoufadenLapalmeBengio2001, + author = "N. Boufaden and Lapalme G. and Bengio Y.", + booktitle = "Proceedings of the Natural Language Pacific Rim Symposium, NLPRS-01", + title = "Topic segmentation: First Stage of Dialogue-Based Information extraction Process", + year = "2001", +} + +@Article{Amit85a, + author = "D. Amit and H. Gutfreund and H. Sompolinsky", + title = "Spin-Glass Models of Neural Networks", + journal = prA, + volume = "32", + pages = "1007--1018", + year = "1985", +} + +@Article{Amit85b, + author = "D. Amit and H. Gutfreund and H. Sompolinsky", + title = "Storing Infinite Numbers of Patterns in a Spin-Glass + Model of Neural Networks", + journal = prl, + volume = "55", + pages = "1530--1533", + year = "1985", +} + +@Article{Amit87a, + author = "D. Amit and H. Gutfreund and H. Sompolinsky", + title = "Statistical Mechanics of Neural Networks Near + Saturation", + journal = annphys, + volume = "173", + pages = "30--67", + year = "1987", +} + +@Article{Amit87b, + author = "D. Amit and H. Gutfreund and H. 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Dietterich and Volker + Tresp", + booktitle = "Advances in NIPS 13", + title = "A Neural Probabilistic Language Model", + publisher = "MIT Press", + pages = "932--938", + year = "2001", +} + +@InProceedings{BenDucVin01-short, + author = "Y. Bengio and R. Ducharme and P. Vincent", + booktitle = "Adv. Neural Inf. Proc. Sys. 13", + title = "A Neural Probabilistic Language Model", + pages = "932--938", + year = "2001", +} + +@TechReport{Bengio+al-2004, + author = "Yoshua Bengio and Olivier Delalleau and Nicolas {Le Roux}", + title = "Efficient Non-Parametric Function Induction in + Semi-Supervised Learning", + number = "1247", + institution = "D\'epartement d'informatique et recherche + op\'erationnelle, Universit\'e de Montr\'eal", + year = "2004", +} + +@InCollection{Bengio+al-2005, + author = "Yoshua Bengio and Nicolas {Le Roux} and Pascal Vincent and + Olivier Delalleau and Patrice Marcotte", + editor = NIPS18ed, + booktitle = NIPS18, + title = "Convex Neural Networks", + publisher = "MIT Press", + address = "Cambridge, MA", + pages = "123--130", + year = "2006", +} + +@InCollection{Bengio+al-2005-small, + author = "Yoshua Bengio and Nicolas {Le Roux} and Pascal Vincent + and Olivier Delalleau and Patrice Marcotte", + booktitle = "NIPS 18", + title = "Convex Neural Networks", + publisher = "MIT Press", + address = "Cambridge, MA", + pages = "123--130", + year = "2006", +} + +@InCollection{Bengio+al-spectral-2006-short, + author = "Yoshua Bengio and Olivier Delalleau and Nicolas {Le + Roux} and Jean-Francois Paiement and Pascal Vincent + and Marie Ouimet", + editor = "Isabelle Guyon and Steve Gunn and Masoud Nikravesh and + Lofti Zadeh", + booktitle = "Feature Extraction, Foundations and Applications", + title = "Spectral Dimensionality Reduction", + publisher = "Springer", + year = "2006", +} + +@InProceedings{Bengio+Bengio-NIPS99, + author = "Yoshua Bengio and Samy Bengio", + editor = NIPS12ed, + booktitle = NIPS12, + title = "Modeling High-Dimensional Discrete Data with + Multi-Layer Neural Networks", + publisher = "MIT Press", + pages = "400--406", + year = "2000", +} + +@Article{Bengio+Bengio-trnn2000, + author = "S. Bengio and Y. Bengio", + title = "Taking on the Curse of Dimensionality in Joint + Distributions Using Neural Networks", + journal = "IEEE Transactions on Neural Networks, special issue on + Data Mining and Knowledge Discovery", + volume = "11", + number = "3", + pages = "550--557", + year = "2000", + url = "http://www.iro.umontreal.ca/~lisa/pointeurs/jdm.pdf", +} + +@Article{Bengio+Bengio-trnn2000-small, + author = "S. Bengio and Y. Bengio", + title = "Taking on the Curse of Dimensionality in Joint + Distributions Using Neural Networks", + journal = "IEEE Trans. Neural Networks", + volume = "11", + number = "3", + pages = "550--557", + year = "2000", + url = "http://www.iro.umontreal.ca/~lisa/pointeurs/jdm.pdf", +} + +@Article{Bengio+Chapados2003, + author = "Yoshua Bengio and Nicolas Chapados", + title = "Extensions to Metric-Based Model Selection", + journal = jmlr, + volume = "3", + pages = "1209--1227", + month = mar, + year = "2003", + note = "Special Issue on Feature Selection", +} + +@TechReport{Bergstra-TR2008, + author = "James Bergstra and Yoshua Bengio and Jerome Louradour", + title = "Image Classification with Biologically Motivated Neuron Models", + number = "---", + institution = "Dept. IRO, Universit\'e de Montr\'eal", + year = "2008", +} + +@article{Bergstra-2009, + author = "James Bergstra and Yoshua Bengio and Jerome Louradour", + title = "Suitability of Complex Cell Models for Object Categorization", + journal = {Computational Neuroscience}, + publisher = "submitted", + year = 2008, +} + +@TechReport{Bengio+Frasconi94a, + author = "Y. Bengio and P. Frasconi", + title = "An {EM} Approach to Learning Sequential Behavior", + number = "Tech. Report. DSI 11/94", + institution = "Universit\`a di Firenze", + year = "1994", +} + +@article{Bengio-nc-2004, + author = {Yoshua Bengio and Olivier Delalleau and Nicolas Le Roux and Jean-François Paiement and Pascal Vincent and Marie Ouimet}, + title = {Learning eigenfunctions links spectral embedding and kernel {PCA}}, + journal = {Neural Computation}, + volume = 16, + number = 10, + year = 2004, + pages = {2197--2219}, +} + +@article{Bengio-nc-2004-small, + author = {Yoshua Bengio and Olivier Delalleau and Nicolas Le Roux and Jean-François Paiement and Pascal Vincent and Marie Ouimet}, + title = {{\small{Learning eigenfunctions links spectral embedding and kernel {PCA}}}}, + journal = {Neural Comp.}, + volume = {16(10)}, + year = 2004, + pages = {2197--2219}, +} + +@Article{Bengio+Grandvalet-JMLR-2004, + author = "Yoshua Bengio and Yves Grandvalet", + title = "No Unbiased Estimator of the Variance of {K}-Fold + Cross-Validation", + journal = jmlr, + volume = "5", + pages = "1089--1105", + year = "2004", +} + +@TechReport{Bengio+Grandvalet-TR-2003, + author = "Yoshua Bengio and Yves Grandvalet", + title = "No Unbiased Estimator of the Variance of {K}-Fold + Cross-Validation", + number = "TR-2003-1234", + institution = "Universite de Montreal, dept. IRO", + year = "2003", +} + +@InCollection{Bengio+Lecun-chapter2007, + author = "Yoshua Bengio and Yann {LeCun}", + editor = "L. Bottou and O. Chapelle and D. DeCoste and J. + Weston", + booktitle = "Large Scale Kernel Machines", + title = "Scaling Learning Algorithms towards {AI}", + publisher = "MIT Press", + year = "2007", +} + +@InCollection{Bengio+Lecun-chapter2007-small, + author = "Y. Bengio and Y. {LeCun}", + booktitle = "Large Scale Kernel Machines", + title = "Scaling Learning Algorithms towards {AI}", + year = "2007", +} + +@InProceedings{Bengio+LeCun94b, + author = "Yoshua Bengio and Yann {LeCun}", + booktitle = ICPR94, + title = "Word Normalization For On-Line Handwritten Word + Recognition", + pages = "409--413", + year = "1994", +} + +@Article{Bengio+Monperrus+Larochelle-2006, + author = "Yoshua Bengio and Martin Monperrus and Hugo + Larochelle", + title = "Nonlocal Estimation of Manifold Structure", + journal = "Neural Computation", + volume = "18", + number = "10", + pages = "2509--2528", + year = "2006", +} + +@InProceedings{Bengio+Monperrus-2005, + author = "Yoshua Bengio and Martin Monperrus", + editor = NIPS17ed, + booktitle = NIPS17, + title = "Non-Local Manifold Tangent Learning", + publisher = "{MIT} Press", + year = "2005", + pages = "129--136", + url = "http://www.iro.umontreal.ca/~lisa/pointeurs/tangent\_learner\_nips2004.pdf", +} + +@InProceedings{Bengio+Senecal-2003-small, + author = "Yoshua Bengio and Jean-S\'ebastien Sen\'ecal", + booktitle = "Proceedings of AISTATS 2003", + title = "Quick Training of Probabilistic Neural Nets by + Importance Sampling", + year = "2003", +} + +@TechReport{Bengio+Vincent+Paiement-TR2003, + author = "Yoshua Bengio and Pascal Vincent and Jean-Fran{\cc}ois + Paiement", + title = "Learning Eigenfunctions of Similarity: Linking + Spectral Clustering and Kernel {PCA}", + number = "1232", + institution = "D\'epartement d'informatique et recherche + op\'erationnelle, Universit\'e de Montr\'eal", + year = "2003", + URL = "www.iro.umontreal.ca/~lisa/pointeurs/TR1232.pdf", +} + +@TechReport{Bengio-decision-trees-TR-2007, + author = "Yoshua Bengio and Olivier Delalleau and Clarence + Simard", + title = "Trees do not Generalize to New Variations", + number = "", + institution = "D\'epartement d'informatique et recherche + op\'erationnelle, Universit\'e de Montr\'eal", + year = "2007", +} + +@TechReport{Bengio-decision-trees07, + author = "Yoshua Bengio and Olivier Delalleau and Clarence + Simard", + title = "Decision Trees do not Generalize to New Variations", + number = "1304", + institution = "Universite de Montreal, Dept. IRO", + year = "2007", + url = "http://www.iro.umontreal.ca/~lisa/pointeurs/bengio+al-tr1304.pdf", +} + +%I deprecate the following one as this is a duplicate of the preceding tech report! +%Their was only one .tex file that was using it. I modified it. +@TechReport{Bengio-Trees-TR2007, + author = "Yoshua Bengio and Olivier Delalleau and Clarence + Simard", + title = "Decision Trees do not Generalize to New Variations", + number = "1304", + institution = "Dept. IRO, Universit\'e de Montr\'eal", + year = "2007", + url = "http://www.iro.umontreal.ca/~lisa/pointeurs/bengio+al-tr1304.pdf", +} + +@Article{Bengio-hmms99, + author = "Yoshua Bengio", + title = "Markovian Models for Sequential Data", + journal = "Neural Computing Surveys", + volume = "2", + pages = "129--162", + year = "1999", +} + +@Article{bengio-hyper-NC00, + author = "Yoshua Bengio", + title = "Gradient-Based Optimization of Hyperparameters", + journal = "Neural Computation", + volume = "12", + number = "8", + pages = "1889--1900", + year = "2000", +} + +@TechReport{bengio-hyper-TR98, + author = "Yoshua Bengio", + title = "Continuous Optimization of Hyper-Parameters for + Non-{IID} Data", + institution = "D\'epartement d'informatique et recherche + op\'erationnelle, Universit\'e de Montr\'eal", + year = "1998", + note = "unpublished manuscript", +} + +@Article{Bengio-Hyper-Weight-Decay-nips, + author = "Simon Latendresse and Yoshua Bengio", + title = "Linear Regression and the Optimization of + Hyper-Parameters", + journal = "submitted to NIPS'99", + year = "1999", +} + +@TechReport{Bengio-Hyper-Weight-Decay-TR, + author = "Yoshua Bengio and Simon Latendresse", + title = "Soft Variable Selection with Numerical Optimization of + Weight Decays", + institution = "D\'epartement d'informatique et recherche + op\'erationnelle, Universit\'e de Montr\'eal", + year = "1999", + note = "in preparation", +} + +@Article{Bengio-ijns97, + author = "Yoshua Bengio", + title = "Using a Financial Training Criterion Rather than a + Prediction Criterion", + journal = "International Journal of Neural Systems", + year = "1997", + volume = {8}, + number = {4}, + note = "Special issue on noisy time-series", + pages = {433--443}, + URL = "www.iro.umontreal.ca/~lisa/pointeurs/profitcost.ps", +} + +@Article{Bengio-IEEETRNN-2001, + author = "Yoshua Bengio and Vincent-Philippe Lauzon and R\'ejean + Ducharme", + title = "Experiments on the Application of {IOHMM}s to Model + Financial Returns Series", + journal = ieeetrnn, + volume = 12, + number = 1, + pages = {113--123}, + year = "2001", +} + +@InProceedings{Bengio-Larochelle-NLMP-NIPS-2006, + author = "Yoshua Bengio and Hugo Larochelle and Pascal Vincent", + editor = NIPS18ed, + booktitle = NIPS18, + title = "Non-Local Manifold Parzen Windows", + publisher = "MIT Press", + pages = "115--122", + year = "2006", +} + +@TechReport{Bengio-Larochelle-NLMP-TR-2005, + author = "Yoshua Bengio and Hugo Larochelle", + title = "Non-Local Manifold Parzen Windows", + number = "1264", + institution = "D\'epartement d'informatique et recherche + op\'erationnelle, Universit\'e de Montr\'eal", + year = "2005", +} + +%have been rejected and later accepted to NIPS in Bengio-localfailure-NIPS-2006 +@InProceedings{Bengio-localfailure-icml-2005, + author = "Yoshua Bengio and Olivier Delalleau and Nicolas {Le + Roux}", + booktitle = "submitted to ICML 2005", + title = "The Curse of Dimensionality for Local Kernel + Machines", + year = "2005", +} + +@InCollection{Bengio-localfailure-NIPS-2006, + author = "Yoshua Bengio and Olivier Delalleau and Nicolas {Le Roux}", + editor = NIPS18ed, + booktitle = NIPS18, + title = "The Curse of Highly Variable Functions for Local + Kernel Machines", + publisher = "{MIT} Press", + address = "Cambridge, MA", + pages = "107--114", + year = "2006", +} + +@InCollection{Bengio-localfailure-NIPS-2006-small, + author = "Yoshua Bengio and Olivier Delalleau and Nicolas {Le Roux}", + booktitle = "NIPS 18", + title = "The Curse of Highly Variable Functions for Local + Kernel Machines", + publisher = "{MIT} Press", + address = "Cambridge, MA", + pages = "107--114", + year = "2006", +} + +@InProceedings{Bengio-localfailure-snowbird-2005, + author = "Yoshua Bengio and Olivier Delalleau and Nicolas {Le + Roux}", + booktitle = "The Learning Workshop", + title = "The Curse of Dimensionality for Local Kernel + Machines", + address = "Snowbird, Utah", + year = "2005", +} + +@InProceedings{HonglakLee-2007, + author = "Honglak Lee and Alexis Battle and Rajat Raina and Andrew Ng", + editor = NIPS19ed, + booktitle = NIPS19, + title = "Efficient sparse coding algorithms", + publisher = "MIT Press", + pages = "801--808", + year = "2007", +} + +@InProceedings{Bengio-nips-2006-small, + author = "Y. Bengio and P. Lamblin and D. Popovici and + H. Larochelle", + booktitle = "Advances in NIPS 19", + title = "Greedy Layer-Wise Training of Deep Networks", + year = "2007", +} + +@InProceedings{Bengio-nips-2006-short, + author = "Y. Bengio and P. Lamblin and D. Popovici and + H. Larochelle", + booktitle = "Adv. Neural Inf. Proc. Sys. 19", + title = "Greedy Layer-Wise Training of Deep Networks", + pages = "153--160", + year = "2007", +} + +@InProceedings{Bengio-nips2004, + author = "Yoshua Bengio and Jean-Fran\c{cois} Paiement and Pascal + Vincent and Olivier Delalleau and Nicolas {Le Roux} and + Marie Ouimet", + editor = NIPS16ed, + booktitle = NIPS16, + title = "Out-of-Sample Extensions for {LLE}, {Isomap}, {MDS}, + {Eigenmaps}, and {Spectral} {Clustering}", + publisher = "MIT Press", + year = "2004", +} + +@InProceedings{Bengio-nips2003, + author = "Yoshua Bengio and Jean-Fran\c{cois} Paiement and Pascal + Vincent and Olivier Delalleau and Nicolas {Le Roux} and + Marie Ouimet", + editor = NIPS16ed, + booktitle = NIPS16, + title = "Out-of-Sample Extensions for {LLE}, {Isomap}, {MDS}, + {Eigenmaps}, and {Spectral} {Clustering}", + publisher = "MIT Press", + year = "2004", +} + +@InCollection{Bengio-NIPS2007, + author = "Yoshua Bengio and Pascal Lamblin and Dan Popovici and + Hugo Larochelle", + editor = NIPS19ed, + booktitle = NIPS19, + title = "Greedy Layer-Wise Training of Deep Networks", + publisher = "MIT Press", + pages = "153--160", + year = "2007", +} + +@InProceedings{Bengio-nnlm2001, + author = "Yoshua Bengio and R{\'e}jean Ducharme and Pascal Vincent", + editor = NIPS13ed, + booktitle = NIPS13, + title = "A Neural Probabilistic Language Model", + publisher = "{MIT} Press", + pages = "933--938", + year = "2001", + url = "http://www.iro.umontreal.ca/~lisa/pointeurs/nips00-lm.ps", +} + +@Article{Bengio-nnlm2003, + author = "Yoshua Bengio and R{\'e}jean Ducharme and Pascal Vincent + and Christian Jauvin", + title = "A Neural Probabilistic Language Model", + journal = jmlr, + volume = "3", + pages = "1137--1155", + year = "2003", +} + +@Article{Bengio-nnlm2003-small, + author = "Y. Bengio and R. Ducharme and P. Vincent + and C. Jauvin", + title = "A Neural Probabilistic Language Model", + journal = "JMLR", + volume = "3", + pages = "1137--1155", + year = "2003", +} + +@Article{Bengio-NonStat-Hyper-ML, + author = "Yoshua Bengio and Charles Dugas", + title = "Learning Simple Non-Stationarities with + Hyper-Parameters", + journal = "submitted to Machine Learning", + year = "1999", +} + +@Article{Bengio-prel92, + author = "Y. Bengio and M. Gori and R. \mbox{De Mori}", + title = "Learning the Dynamic Nature of Speech with + Back-propagation for Sequences", + journal = prel, + volume = "13", + number = "5", + pages = "375--385", + year = "1992", + note = "(Special issue on Artificial Neural Networks)", +} + +@Article{Bengio-2008, + author = "Yoshua Bengio", + title = "Learning Deep Architectures for {AI}", + journal = {Foundations and Trends in Machine Learning}, + year = "2009", + volume = {to appear}, +} + +@Article{Bengio-2009-short, + author = "Y. Bengio", + title = "Learning Deep Architectures for {AI}", + journal = {Foundations \& Trends in Mach. Learn.}, + year = "2009", + volume = 2, + number = 1, + pages = {1--127}, +} + +@TechReport{Bengio-TR1312-small, + author = "Yoshua Bengio", + title = "Learning Deep Architectures for {AI}", + number = "1312", + institution = "U. Montr\'eal, dept. IRO", + year = "2007", +} + +@InProceedings{Bengio-transducers-98, + author = "Y. Bengio and S. Bengio and J. F. Isabelle and Y. + Singer", + editor = NIPS10ed, + booktitle = NIPS10, + title = "Shared Context Probabilistic Transducers", + publisher = "MIT Press", + pages = "409--415", + year = "1998", +} + +@Article{Bengio-trnn92, + author = "Y. Bengio and R. \mbox{De Mori} and G. Flammia and R. + Kompe", + title = "Global Optimization of a Neural Network-Hidden + {Markov} Model Hybrid", + journal = ieeetrnn, + volume = "3", + number = "2", + pages = "252--259", + year = "1992", +} + +@Article{Bengio-trnn93, + author = "Y. Bengio and P. Simard and P. Frasconi", + title = "Learning Long-Term Dependencies with Gradient Descent + is Difficult", + journal = ieeetrnn, + volume = "5", + number = "2", + pages = "157--166", + year = "1994", + OPTnote = "(Special Issue on Recurrent Neural Networks)", + url = "http://www.iro.umontreal.ca/~lisa/pointeurs/ieeetrnn94.pdf", +} + +@Article{Bengio-trnn96, + author = "Y. Bengio and P. Frasconi", + title = "Input/{Output} {HMM}s for Sequence Processing", + journal = "IEEE Transactions on Neural Networks", + volume = "7", + number = "5", + pages = "1231--1249", + year = "1996", +} + +@TechReport{Bengio2003, + author = "Christopher Kermorvant and Yoshua Bengio", + title = "Extracting Hidden Sense Probabilities from Bitexts", + number = "1231", + institution = "Université de Montréal", + year = "2003", +} + +@InProceedings{Bengio89b, + author = "Y. Bengio and P. Cosi and R. Cardin and R. De Mori", + editor = NIPS1ed, + booktitle = NIPS1, + title = "Use of multi-layered networks for coding speech with + phonetic features", + publisher = "Morgan Kaufmann, San Mateo", + address = "Denver, CO", + pages = "224--231", + year = "1989", +} + +@PhdThesis{Bengio91, + author = "Yoshua Bengio", + title = "Artificial Neural Networks and their Application to + Sequence Recognition", + school = "McGill University, (Computer Science)", + address = "Montreal, Qc., Canada", + year = "1991", +} + +@InProceedings{bengio91x, + author = "Y. Bengio and R. {De Mori} and G. Flammia and R. + Kompe", + booktitle = ijcnn, + title = "Global Optimization of a Neural Network - Hidden + Markov Model Hybrid", + volume = "2", + pages = "789--794", + year = "1991", + OPTaddress = "Seattle WA", +} + +@article{Becker92, + author = {Sue Becker and Geoffrey Hinton}, + title = {A self-organizing neural network that discovers surfaces in random-dot stereograms}, + journal = {Nature}, + volume = 355, + pages = {161--163}, + year = 1992, +} + +@Article{Bengio93, + author = "Yoshua Bengio", + title = "A Connectionist Approach to Speech Recognition", + journal = "International Journal on Pattern Recognition and + Artificial Intelligence", + volume = "7", + number = "4", + pages = "647--668", + note = "special issue entitled Advances in Pattern Recognition Systems using Neural Networks", + year = "1993", +} + +@InProceedings{Bengio93e, + author = "S. Bengio and Y. Bengio and J. Cloutier and J. + Gecsei", + editor = "S. Gielen and B. 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B\'elisle and C. + Nadeau", + editor = NIPS13ed, + booktitle = NIPS13, + title = "Incorporating Second-Order Functional Knowledge for Better Option Pricing", + publisher = "{MIT} Press", + pages = "472--478", + year = "2001", +} + +%%InProceedings{Bengio2000, +%% author = "Y. Bengio", +%% booktitle = icjnn +%% title = "Incorporating Second-Order Functional Knowledge for Better Option Pricing", +%% volume = "V", +%% pages = "79--84", +%% year = "2000", +%%} + +@inproceedings{Bengio2000, + title={Probabilistic neural network models for sequential data}, + author={Bengio, Y.}, + booktitle=ijcnn, + year={2000}, + volume={5}, + pages={79-84}, + abstract={Artificial neural networks (ANN) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been proposed to incorporate them into probabilistic models of sequential data, such as hidden Markov models (HMM). 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Volume 1: Foundations", + title = "Learning and relearning in {Boltzmann} machines", + publisher = "MIT Press", + address = "Cambridge, MA", + pages = "282--317", + year = "1986", +} + +@InProceedings{Hinton-ICA-2001, + author = "G. E. Hinton and M. Welling and Y. W. Teh and S. + Osindero", + booktitle = "Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation (ICA'01)", + title = "A New View of {ICA}", + address = "San Diego, CA", + pages = "746--751", + year = "2001", +} + +@InProceedings{Hinton-nips95, + author = "G. E. Hinton and M. Revow and P. Dayan", + editor = NIPS7ed, + booktitle = NIPS7, + title = "Recognizing handwritten digits using mixtures of + linear models", + publisher = "MIT Press, Cambridge, MA", + pages = "1015--1022", + year = "1995", +} + +@TechReport{Hinton-PoE-2000, + author = "Geoffrey E. Hinton", + title = "Training Products of Experts by Minimizing Contrastive + Divergence", + number = "GCNU TR 2000-004", + institution = "Gatsby Unit, University College London", + year = "2000", +} + +@Article{Hinton-Science2006, + author = "Geoffrey E. Hinton and Ruslan Salakhutdinov", + title = "Reducing the dimensionality of data with neural + networks", + journal = "Science", + volume = "313", + number = "5786", + pages = "504--507", + month = jul, + year = "2006", +} + +%I deprecate the following one as this is a duplicate of the preceding one! +@Article{Hinton+Salakhutdinov-2006, + author = "Geoffrey E. Hinton and Ruslan {Salakhutdinov}", + title = "{Reducing the Dimensionality of Data with Neural + Networks}", + journal = "Science", + volume = "313", + pages = "504--507", + month = jul, + year = "2006", +} + + +@Article{Hinton06, + author = "Goeffrey E. 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Hinton", + title = "Training products of experts by minimizing contrastive + divergence", + journal = "Neural Computation", + volume = "14", + pages = "1771--1800", + year = "2002", +} + +@InProceedings{Hinton83, + author = "G. E. Hinton and T. J. Sejnowski", + booktitle = cvpr83, + title = "Optimal Perceptual Inference", + publisher = "IEEE, New York", + address = "Washington 1983", + pages = "448--453", + year = "1983", +} + +@TechReport{Hinton84, + author = "G. E. Hinton and T. J. Sejnowski and D. H. Ackley", + title = "{Boltzmann} machines: Constraint satisfaction networks + that learn", + number = "TR-CMU-CS-84-119", + institution = "Carnegie-Mellon University, Dept. of Computer + Science", + year = "1984", +} + +@InCollection{Hinton86a, + author = "G. E. Hinton and T. J. Sejnowski", + editor = "D. E. Rumelhart and J. L. McClelland", + booktitle = pdp, + title = "Learning and Relearning in {Boltzmann} Machines", + chapter = "7", + volume = "1", + publisher = "MIT Press", + address = "Cambridge", + pages = "282--317", + year = "1986", +} + +@InProceedings{Hinton86b, + author = "Geoffrey E. Hinton", + booktitle = "Proceedings of the Eighth Annual Conference of the + Cognitive Science Society", + title = "Learning Distributed Representations of Concepts", + publisher = "Lawrence Erlbaum, Hillsdale", + address = "Amherst 1986", + pages = "1--12", + year = "1986", +} + +@InProceedings{Hinton86b-small, + author = "Geoffrey E. Hinton", + booktitle = "Proc. 8th Annual Conf. Cog. Sc. Society", + title = "Learning Distributed Representations of Concepts", + pages = "1--12", + year = "1986", +} + +@InProceedings{Hinton87, + author = "Geoffrey E. Hinton", + editor = "J. W. {de Bakker} and A. J. Nijman and P. 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Ackley", + title = "{Boltzmann} machines: Constraint satisfaction networks + that learn", + number = "TR-CMU-CS-84-119", + institution = "Carnegie-Mellon University, Dept. of Computer + Science", + year = "1984", + OPTnote = "", +} + +@InProceedings{Hirayama-nips92, + author = "M. Yirayama and E. Vatikiotis-Bateson and M. Kawato + and M. I. Jordan", + editor = NIPS4ed, + booktitle = NIPS4, + title = "Forward Dynamics Modeling of Speech Motor Control + Using Physiological Data", + publisher = "Morgan Kaufmann, San Mateo", + address = "Denver, CO", + pages = "191--198", + year = "1992", + OPTnote = "", +} + +@Article{Hjort96, + author = "N. L. Hjort and M. C. 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Barto", + title = "Task Decomposition Through Competition in a Modular + Connectionist Architecture: The {What} and {Where} + Vision Tasks", + number = "COINS 90-27", + institution = "MIT", + address = "Cambridge MA", + year = "1990", +} + +@Article{Jacobs88, + author = "R. A. Jacobs", + title = "Increased Rates of Convergence Through Learning Rate + Adaptation", + journal = nn, + volume = "1", + pages = "295--307", + year = "1988", +} + +@Article{Jacobs91a, + author = "Robert A. Jacobs and Michael I. Jordan and Steven J. + Nowlan and Geoffrey E. Hinton", + title = "Adaptive Mixtures of Local Experts", + journal = nc, + volume = "3", + pages = "79--87", + year = "1991", +} + +@Article{Jacobs91b, + author = "R. A. Jacobs and M. I. Jordan and A. G. 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Jacobs", + editor = NIPS4ed, + booktitle = NIPS4, + title = "Hierarchies of adaptive experts", + publisher = "Morgan Kaufmann", + address = "San Mateo, CA", + pages = "985--992", + year = "1992", +} + +@TechReport{Jordan-tr86, + author = "M. I. Jordan", + title = "Serial Order: a Parallel Distributed Processing + Approach", + number = "8604", + institution = "ICS (Institute for Cognitive Science, University of + California)", + year = "1986", +} + +@InProceedings{Jordan86, + author = "M. I. Jordan", + booktitle = "Proceedings of the Eighth Annual Conference of the + Cognitive Science Society", + title = "Attractor Dynamics and Parallelism in a Connectionist + Sequential Machine", + publisher = "Lawrence Erlbaum, Hillsdale", + address = "Amherst 1986", + pages = "531--546", + year = "1986", +} + +@TechReport{Jordan88, + author = "M. I. Jordan", + title = "Supervised Learning and Systems with Excess Degrees of + Freedom", + number = "COINS Technical Report 88-27", + institution = "MIT", + address = "Cambridge MA", + year = "1988", +} + +@InCollection{Jordan89, + author = "M. I. Jordan", + editor = "J. L. Elman and D. E. Rumelhart", + booktitle = "Advances in Connectionist Theory: Speech", + title = "Serial Order: {A} Parallel, Distributed Processing + Approach", + publisher = "Lawrence Erlbaum", + address = "Hillsdale", + year = "1989", +} + +@InProceedings{Jordan89b, + author = "M. I. Jordan", + editor = "G. Hinton and D. S. Touretzky", + booktitle = "Proceedings of the 1988 Connectionist Models Summer + School", + title = "Supervised learning and systems with excess degrees of + freedom", + publisher = "Morgan Kaufmann", + address = "San Mateo, CA", + year = "1989", +} + +@InCollection{Jordan90, + author = "M. I. Jordan", + editor = "M. 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M{\"{u}}ller", + title = "Efficient Backprop", + booktitle = "Neural Networks, Tricks of the Trade", + year = "1998", +} + + +@InProceedings{lecun-04, + author = "Yann {LeCun} and Fu-Jie Huang and L{\'e}on Bottou", + booktitle = cvpr04, + title = "Learning Methods for Generic Object Recognition with + Invariance to Pose and Lighting", + volume = {2}, + year = "2004", + issn = {1063-6919}, + pages = {97-104}, + doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.144}, + publisher = {IEEE Computer Society}, + address = {Los Alamitos, CA, USA}, +} + +@InProceedings{LeCun-cp89, + author = "Yann {LeCun}", + booktitle = "Connectionism in Perspective", + title = "Generalization and Network Design Strategies", + publisher = "Elsevier Publishers", + year = "1989", +} + +@InCollection{LeCun-dsbo86, + author = "Yann {LeCun}", + editor = "F. Fogelman-Souli\'e and E. Bienenstock and G. + Weisbuch", + booktitle = "Disordered Systems and Biological Organization", + title = "Learning Processes in an Asymmetric Threshold + Network", + publisher = "Springer-Verlag", + address = "Les Houches, France", + pages = "233--240", + year = "1986", +} + +@InProceedings{lecun-huang-05, + author = "Yann {LeCun} and {Fu Jie} Huang", + editor = aistats05ed, + booktitle = aistats05, + title = "Loss Functions for Discriminative Training of + Energy-Based Models", + date = "Jan 6-8, 2005", + location = "Savannah Hotel, Barbados", + year = "2005", +} + +@Misc{LeCun-nips93-tutorial, + author = "Yann {LeCun}", + title = "Efficient learning and second-order methods", + year = "1993", + note = "Tutorial presented at NIPS'93, Denver, CO", +} + +@PhdThesis{Lecun-these87, + author = "Yann {LeCun}", + title = "Mod\`eles connexionistes de l'apprentissage", + school = "Universit\'e de Paris VI", + year = "1987", +} + +@InCollection{lecun2006, + author = "Yann {LeCun} and Sumit Chopra and Raia Hadsell and + Marc-Aurelio Ranzato and Fu-Jie Huang", + editor = "G. 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Fogelman-Souli\'e and G. + Weisbuch", + booktitle = "Disordered Systems and Biological Organization", + title = "Learning Processes in an Asymmetric Threshold + Network", + publisher = "Springer-Verlag, Berlin", + address = "Les Houches 1985", + pages = "233--240", + year = "1986", +} + +@Article{LeCun89, + author = "Yann {LeCun} and Bernhard Boser and John S. Denker and Donnie + Henderson and Richard E. Howard and Wayne Hubbard and Lawrence D. + Jackel", + title = "Backpropagation Applied to Handwritten Zip Code + Recognition", + journal = nc, + volume = "1", + number = "4", + pages = "541--551", + year = "1989", +} + +@TechReport{LeCun89a, + author = "Yann {LeCun}", + key = "LeCun", + title = "Generalization and Network Design Strategies", + type = "Technical Report", + number = "CRG-TR-89-4", + institution = "University of Toronto", + year = "1989", +} + +@Article{LeCun89d, + author = "Yann {LeCun} and Lawrence D. Jackel and B. Boser and J. + S. Denker and Hans P. Graf and I. Guyon and D. + Henderson and R. E. Howard and W. Hubbard", + title = "Handwritten Digit recognition: Applications of Neural + Network Chips and Automatic Learning", + journal = "IEEE Communications Magazine", + volume = "27", + number = "11", + pages = "41--46", + month = nov, + year = "1989", +} + +@InProceedings{LeCun90a, + author = "Y. {LeCun} and B. Boser and J. S. Denker and D. + Henderson and R. E. Howard and W. Hubbard and L. D. + Jackel", + editor = NIPS2ed, + booktitle = NIPS2, + title = "Handwritten Digit Recognition with a Back-Propagation + Network", + publisher = "Morgan Kaufmann, San Mateo", + address = "Denver, CO", + pages = "396--404", + year = "1990", +} + +@InProceedings{LeCun90b, + author = "Y. {LeCun} and J. S. Denker and S. A. Solla", + editor = NIPS2ed, + booktitle = NIPS2, + title = "Optimal Brain Damage", + publisher = "Morgan Kaufmann, San Mateo", + address = "Denver, CO", + pages = "598--605", + year = "1990", +} + +@InProceedings{LeCun90c, + author = "Y. 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Ng and Andrew McCallum}, + title = {Classification with hybrid generative/discriminative models}, + editor = NIPS16ed, + booktitle = NIPS16, + year = {2003}, + publisher = {MIT Press} +} + +@Misc{raina+ng+koller-workshop-2005, + author = "Rajat Raina and Andrew Y. Ng and Daphne Koller", + title = "Transfer Learning by Constructing Informative Priors", + howpublished = "'Inductive Transfer: 10 Years Later' NIPS Workshop", + year = "2005", + OPTkey = "", +} + +@InProceedings{RainaR2007, + author = "Rajat Raina and Alexis Battle and Honglak Lee and + Benjamin Packer and Andrew Y. Ng", + booktitle = ICML07, + editor = ICML07ed, + publisher = ICML07publ, + title = "Self-taught learning: transfer learning from unlabeled + data", + pages = "759--766", + year = "2007", + bibsource = "DBLP, http://dblp.uni-trier.de", + ee = "http://doi.acm.org/10.1145/1273496.1273592", +} + +@InProceedings{RainaR2007-small, + author = "R. Raina and A. Battle and H. Lee and B. Packer and A. + Y. 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Sys. 19", + title = "Efficient Learning of Sparse Representations with an + Energy-Based Model", + pages = {1137--1144}, + year = "2007", +} + +# Please do NOT use this citation as it is a duplicate of ranzato-07 +@InCollection{ranzato-06, + author = "{Marc'Aurelio} Ranzato and Christopher Poultney and + Sumit Chopra and Yann {LeCun}", + editor = NIPS19ed, + booktitle = NIPS19, + title = "Efficient Learning of Sparse Representations with an + Energy-Based Model", + publisher = "{MIT} Press", + pages = "", + year = "2007", +} + +# Please do NOT use this citation as it is a duplicate of ranzato-07-small +@InCollection{ranzato-06-small, + author = "M. Ranzato and C. Poultney and + S. Chopra and Y. {LeCun}", + booktitle = "NIPS 19", + title = "Efficient Learning of Sparse Representations with an + Energy-Based Model", + year = "2007", +} + + +@InProceedings{ranzato-08, + author = "{Marc'Aurelio} Ranzato and Y-Lan Boureau and Yann + {LeCun}", + editor = NIPS20ed, + booktitle = NIPS20, + title = "Sparse feature learning for deep belief networks", + publisher = "MIT Press", + address = "Cambridge, MA", + pages = "1185--1192", + year = "2008", +} + %url = "http://www.cs.nyu.edu/~ranzato/publications/ranzato-nips07.pdf", + +@InProceedings{ranzato-08-small, + author = "M. Ranzato and Y. Boureau and Y. {LeCun}", + booktitle = "NIPS 20", + title = "Sparse feature learning for deep belief networks", + year = "2008", +} + +@InProceedings{ranzato-08-short, + author = "M. Ranzato and Y. Boureau and Y. {LeCun}", + booktitle = "Adv. Neural Inf. Proc. 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Butler", + booktitle = icnn, + title = "Training Time-Dependence in Neural Networks", + volume = "2", + publisher = "IEEE, New York", + address = "San Diego 1987", + pages = "701--708", + year = "1987", +} + +@InProceedings{Rohwer90, + author = "R. Rohwer", + editor = NIPS2ed, + booktitle = NIPS2, + title = "The ``Moving Targets'' Training Algorithm", + publisher = "Morgan Kaufmann, San Mateo", + address = "Denver, CO", + pages = "558--565", + year = "1990", +} + +@article{Rohde+Plaut-99, + author = {D.L.T. Rohde and D.C. Plaut}, + title = {Language acquisition in the absence of explicit negative evidence: {H}ow important is starting small?}, + journal = {Cognition}, + volume = 72, + pages = {67--109}, + year = 1999 +} + +@PhdThesis{Romeo89, + author = "F. I. Romeo", + title = "Simulated Annealing: Theory and Applications to Layout + Problems", + school = "University of California at Berkeley", + year = "1989", + note = "Memorandum UCB/ERL--M89/29", +} + +@InProceedings{Romer+Frey2003, + author = "R. Rosales and B. Frey", + booktitle = UAI03, + title = "Learning Generative Models of Affinity Matrices", + publisher = "Morgan Kaufmann Publishers", + address = "San Francisco, CA", + pages = "485--492", + year = "2003", +} + +@InProceedings{Ron94, + author = "D. Ron and Y. Singer and N. Tishby", + editor = NIPS6ed, + booktitle = NIPS6, + title = "The power of amnesia", + publisher = "Morgan Kaufmann", + address = "San Mateo, CA", + pages = "176--183", + year = "1994", +} + +@Article{Ron96, + author = "D. Ron and Y. Singer and N. Tishby", + title = "The power of amnesia: Learning Probabilistic Automata + with Variable Memory Length", + journal = "Machine Learning", + volume = "25", + year = "1996", +} + +@Article{Ron98, + author = "Naftali Tishby {Dana Ron, Yoram Singer}", + title = "On the Learnability and Usage of Acyclic Probabilistic + Finite Automata", + journal = "Journal of Computer and System Sciences", + volume = "56", + number = "2", + pages = "133--152", + year = "1998", +} + +@InProceedings{Roscheisen-nips92, + author = "M. Rvscheisen and R. Hofman and V. Tresp", + editor = NIPS4ed, + booktitle = NIPS4, + title = "Neural Control for Rolling Mills: Incorporating Domain + Theories to Overcome Data Deficiency", + publisher = "Morgan Kaufmann", + address = "San Mateo, CA", + pages = "659--666", + year = "1992", +} + +@Book{Rose85, + editor = "D. Rose and V. G. Dobson", + title = "Models of the Visual Cortex", + publisher = "Wiley", + address = "Chichester", + year = "1985", +} + +@Book{Rosenberg-1997, + author = "S. Rosenberg", + title = "The Laplacian on a Riemannian Manifold", + publisher = "Cambridge University Press", + address = "Cambridge, UK", + year = "1997", +} + +@InCollection{Rosenberg88, + author = "C. R. Rosenberg and G. Blelloch", + editor = "D. Waltz and J. Feldman", + booktitle = "Connectionist Models and their Implications", + title = "An Implementation of Network Learning on the + Connection Machine", + publisher = "Ablex Pub. Corp", + address = "Norwood, NJ", + year = "1988", +} + +@TechReport{Rosenblatt57, + author = "Frank Rosenblatt", + title = "The Perceptron --- a perceiving and recognizing + automaton", + number = "85-460-1", + institution = "Cornell Aeronautical Laboratory", + address = "Ithaca, N.Y.", + year = "1957", +} + +@article{Rosenblatt-1958, + author = {Frank Rosenblatt}, + title = {The perceptron: A probabilistic model for information storage and organization in the brain}, + journal = {Psychological Review}, + year = {1958}, + volume = {65}, + pages = {386â408}, +} + +@Book{Rosenblatt62, + author = "Frank Rosenblatt", + title = "Principles of Neurodynamics", + publisher = "Spartan", + address = "New York", + year = "1962", +} + +@Article{rosenfeld02whole, + author = "Ronald Rosenfeld and Stanley F. Chen and Xiaojin Zhu", + title = "Whole-Sentence Exponential Language Models: {A} + Vehicle For Linguistic-Statistical Integration", + journal = CSL, + volume = "15", + number = "1", + year = "2001", + URL = "citeseer.nj.nec.com/448532.html", +} + +@Article{Rosenfeld2000, + author = "Ronald Rosenfeld", + title = "Two decades of Statistical Language Modeling: Where Do + We Go From Here?", + journal = "Proceedings of the {IEEE}", + volume = "88", + number = "8", + pages = "1270--1278", + year = "2000", +} + +@InProceedings{Rosipal2003, + author = "R. Rosipal and L. J. Trejo and B. Matthews", + booktitle = ICML03, + editor = ICML03ed, + publisher = ICML03publ, + title = "Kernel {PLS}-{SVC} for Linear and Nonlinear + Classification", + year = "2003", +} + +@PhdThesis{Rossen89, + author = "M. L. Rossen", + title = "Speech Syllable Recognition with a Neural Network", + school = "Brown University", + year = "1989", +} + +@Article{Rost93, + author = "B. Rost and C. Sander", + title = "Improved prediction of protein secondary structure by + use of sequence profiles and neural networks", + journal = "Proc. Nat. Ac. Sci. USA", + volume = "90", + pages = "7558--7562", + year = "1993", +} + +@Article{Rost94, + author = "B. Rost and C. Sander", + title = "Combining evolutionary information and neural networks + to predict protein secondary structure", + journal = "Proteins", + volume = "19", + pages = "55--72", + year = "1994", +} + +@InProceedings{RothBlack2005, + author = "Stefan Roth and Michael J. Black", + booktitle = cvpr05, + title = "Fields of Experts: a framework for learning image + priors", + volume = "2", + number = "", + pages = "860--867", + year = "2005", +} + +@InProceedings{Roweis+Saul+Hinton-2002, + author = "S. Roweis and L. Saul and G. Hinton", + editor = NIPS14ed, + booktitle = NIPS14, + title = "Global coordination of local linear models", + publisher = "MIT Press", + address = "Cambridge, MA", + year = "2002", +} + +% DEPRECATED, USE THE ONE BELOW +@Article{roweis00lle, + author = "Sam Roweis and Lawrence K. Saul", + title = "Nonlinear dimensionality reduction by locally linear + embedding", + journal = "Science", + volume = "290", + number = "5500", + pages = "2323--2326", + month = dec, + year = "2000", +} + +@Article{Roweis2000-lle, + author = "Sam Roweis and Lawrence K. Saul", + title = "Nonlinear dimensionality reduction by locally linear + embedding", + journal = "Science", + volume = "290", + number = "5500", + pages = "2323--2326", + month = dec, + year = "2000", +} + +@TechReport{roweis97unifying, + author = "Sam Roweis and Zoubin Ghahramani", + title = "A Unifying Review of Linear {G}aussian Models", + address = "6 King's College Road, Toronto M5S 3H5, Canada", + year = "1997", + URL = "citeseer.nj.nec.com/article/roweis97unifying.html", +} + +@InProceedings{roweis98em, + author = "Sam Roweis", + editor = NIPS10ed, + booktitle = NIPS10, + title = "{EM} Algorithms for {PCA} and {SPCA}", + volume = "10", + publisher = "{MIT} Press", + year = "1998", + URL = "citeseer.nj.nec.com/roweis98em.html", +} + +@InProceedings{RoweisNCA2005, + author = "Jacob Goldberger and Sam Roweis and Geoffrey E. Hinton and Ruslan + Salakhutdinov", + editor = NIPS17ed, + booktitle = NIPS17, + title = "Neighbourhood Components Analysis", + publisher = "{MIT} Press", + year = "2005", +} + +@Book{Rubinstein1981, + author = "Reuven Y. Rubinstein", + title = "Simulation and the Monte Carlo Method", + publisher = "John Wiley \& Sons", + year = "1981", +} + +@Article{Rubner89, + author = "J. Rubner and P. Tavan", + title = "A Self-Organizing Network for Principal-Component + Analysis", + journal = eul, + volume = "10", + pages = "693--698", + year = "1989", +} + + +@Article{Rubner90, + author = "J. Rubner and K. Schulten", + title = "Development of Feature Detectors by + Self-Organization", + journal = biocyb, + volume = "62", + pages = "193--199", + year = "1990", +} + +@Article{Rumelhart85, + author = "D. E. Rumelhart and D. Zipser", + title = "Feature Discovery by Competitive Learning", + journal = cogsci, + volume = "9", + pages = "75--112", + year = "1985", + note = "Reprinted in \cite[chapter 5]{Rumelhart86a}", +} + +@Book{Rumelhart86a, + author = "D. E. Rumelhart and J. L. McClelland and the PDP + Research Group", + title = "Parallel Distributed Processing: Explorations in the + Microstructure of Cognition", + volume = "1", + publisher = "MIT Press", + address = "Cambridge", + year = "1986", +} + +@Article{Rumelhart86b, + author = "David E. Rumelhart and Geoffrey E. Hinton and Ronald J. Williams", + title = "Learning Representations by Back-Propagating Errors", + journal = "Nature", + volume = "323", + pages = "533--536", + year = "1986", +} + +@InCollection{Rumelhart86c, + author = "D. E. Rumelhart and G. E. Hinton and R. J. Williams", + editor = "D. E. Rumelhart and J. L. McClelland", + booktitle = pdp, + title = "Learning Internal Representations by Error + Propagation", + chapter = "8", + volume = "1", + publisher = "MIT Press", + address = "Cambridge", + pages = "318--362", + year = "1986", +} + +@InProceedings{Russ+Geoff-nips-2007, + author = "Ruslan Salakhutdinov and Geoffrey E. Hinton", + editor = NIPS20ed, + booktitle = NIPS20, + title = "Using Deep Belief Nets to Learn Covariance Kernels for + {Gaussian} Processes", + publisher = "MIT Press", + address = "Cambridge, MA", + pages = "1249--1256", + year = "2008", +} + %url = "http://www.csri.utoronto.ca/~hinton/absps/dbngp.pdf", + +@InProceedings{Russ+Geoff-nips-2007-small, + author = "Ruslan Salakhutdinov and Geoffrey E. Hinton", + booktitle = "NIPS 20", + title = "Using {D}eep {B}elief {N}ets to Learn Covariance Kernels for + {G}aussian Processes", + year = "2008", +} + +@InProceedings{Russ+Geoff-nips-2007-short, + author = "R. Salakhutdinov and G.E. Hinton", + booktitle = "Adv. Neural Inf. Proc. Sys. 20", + title = "Using {D}eep {B}elief {N}ets to Learn Covariance Kernels for + {G}aussian Processes", + pages = {1249--1256}, + year = "2008", +} + +@article{rust:2005, + author = {Nicole Rust and Odelia Schwartz and J. Anthony Movshon and Eero Simoncelli}, + title = {Spatiotemporal Elements of Macaque {V1} Receptive Fields}, + journal = {Neuron}, + volume = {46}, + number = {6}, + pages = {945-956}, + year = {2005} +} +@article{rust:2006, + author = {Nicole C. Rust and Valerio Mante and Eero P. Simoncelli and J. + Anthony Movshon}, + year = {2006}, + title = {How MT Cells Analyze the Motion of Visual Patterns}, + journal = {Nature Neuroscience}, + volume = {9}, + number = {11}, + pages = {1421-1431}, +} + +@Article{RYsed98, + author = "Eric Sven Ristad and Peter N. Yianilos", + title = "Learning String Edit Distance", + journal = "IEEE Transactions on Pattern Recognition and Machine + Intelligence", + month = may, + year = "1998", +} + +@Book{Saad-1996, + author = "Y. Saad", + title = "Iterative Methods for Sparse Linear Systems", + publisher = "{PWS} Publishing Company", + address = "Boston, MA", + year = "1996", +} + +@TechReport{Saad90a, + author = "D. Saad and E. Marom", + title = "Learning by Choice of Internal Representations --- An + Energy Minimization Approach", + type = "Preprint", + institution = "Faculty of Engineering, Tel Aviv University", + address = "Ramat-Aviv, Israel", + year = "1990", +} + +@TechReport{Saad90b, + author = "D. Saad and E. Marom", + title = "Training Feed Forward Nets with Binary Weights via a + Modified {CHIR} Algorithm", + type = "Preprint", + institution = "Faculty of Engineering, Tel Aviv University", + address = "Ramat-Aviv, Israel", + year = "1990", +} + +@Book{SaadOnlineLearning1999, + editor = "David Saad", + title = "On-Line Learning in Neural Networks", + publisher = "Cambridge University Press", + year = "1999", +} + +@Article{Sachs+Young80, + author = "M. B. Sachs and E. D. Young", + title = "Effects of nonlinearities on speech encoding in the + auditory nerve", + journal = jasa, + volume = "68", + number = "3", + pages = "858--875", + year = "1980", +} + +@Article{Sakoe78, + author = "H. Sakoe and C. Chiba", + title = "Dynamic Programming Algorithm Optimization for Spoken + Word Recognition", + journal = ieeetassp, + volume = "26", + number = "1", + pages = "43--49", + month = feb, + year = "1978", +} + +@InProceedings{Salakhutdinov-2010, + author = {Ruslan Salakhutdinov}, + title = {Learning in {M}arkov Random Fields using Tempered Transitions}, + year = {2010}, + crossref = {NIPS22} +} + +@InProceedings{Salakhutdinov+Hinton2007, + author = "Ruslan Salakhutdinov and Geoffrey E. Hinton", + booktitle = "Proceedings of the 2007 Workshop on Information + Retrieval and applications of Graphical Models (SIGIR + 2007)", + title = "Semantic Hashing", + year = "2007", + publisher = "Elsevier", + address = {Amsterdam}, +} + +@InProceedings{Salakhutdinov+Hinton2007-small, + author = "Ruslan Salakhutdinov and Geoffrey E. Hinton", + booktitle = "SIGIR", + title = "Semantic Hashing", + year = "2007", +} + +@InProceedings{SalakhutdinovR2007, + author = "Ruslan Salakhutdinov and Geoffrey E. Hinton", + booktitle = aistats07, + title = "Learning a Nonlinear Embedding by Preserving Class + Neighbourhood Structure", + publisher = "Omnipress", + date = "March 21-24, 2007", + address = "San Juan, Porto Rico", + year = "2007", +} + +@InProceedings{SalakhutdinovR2007-small, + author = "Ruslan Salakhutdinov and Geoffrey E. Hinton", + booktitle = aistats07-small, + title = "Learning a Nonlinear Embedding by Preserving Class + Neighbourhood Structure", + year = "2007", +} + +@InProceedings{SalakhutdinovR2007-short, + author = "R. Salakhutdinov and G.E. Hinton", + booktitle = {AI \& Stat.'2007}, + title = "Learning a Nonlinear Embedding by Preserving Class + Neighbourhood Structure", + year = "2007", +} + +@InProceedings{SalakhutdinovR2007b, + author = "Ruslan Salakhutdinov and Andriy Mnih and Geoffrey E. + Hinton", + booktitle = ICML07, + editor = ICML07ed, + publisher = ICML07publ, + title = "Restricted {Boltzmann} machines for collaborative + filtering", + address = "New York, NY, USA", + pages = "791--798", + year = "2007", + location = "Corvalis, Oregon", +} + +@InProceedings{SalakhutdinovR2007b-small, + author = "Ruslan Salakhutdinov and Andriy Mnih and Geoffrey E. Hinton", + booktitle = "ICML 2007", + title = "Restricted {Boltzmann} machines for collaborative + filtering", + year = "2007", +} + +@InProceedings{SalakhutdinovR2007b-short, + author = "R. Salakhutdinov and A. Mnih and G.E. Hinton", + booktitle = "Int. Conf. Mach. Learn. 2007", + title = "Restricted {Boltzmann} machines for collaborative + filtering", + pages = "791--798", + year = "2007", +} + + +@InProceedings{Salakhutdinov+Murray-2008, + title = "On the Quantitative Analysis of Deep Belief Networks", + author = "Ruslan Salakhutdinov and Iain Murray", + booktitle = ICML08, + editor = ICML08ed, + publisher = ICML08publ, + pages = "872--879", + year = "2008", + volume = "25", +} + +@InProceedings{Salakhutdinov+Hinton-2009, + author = "Ruslan Salakhutdinov and Geoffrey E. Hinton", + booktitle = aistats09, + title = "Deep {Boltzmann} Machines", + year = "2009", + volume = 5, + location = "Clearwater (Florida), USA", + date = "April 16-18, 2009", + pages = "448--455", +} + +@Article{Salamon88, + author = "P. Salamon and J. D. Nulton and J. Robinson and J. + Petersen and G. Ruppeiner and L. Liao", + title = "Simulated Annealing with Constant Thermodynamic + Speed", + journal = cpc, + volume = "49", + pages = "423--428", + year = "1988", +} + +@Article{Salton+Buckley88, + author = "G. Salton and C. Buckley", + title = "Term weighting approaches in automatic text + retrieval", + journal = "Information Processing and Management", + volume = "24", + number = "5", + pages = "513--523", + year = "1988", +} + +@Article{Sanger89a, + author = "T. D. Sanger", + title = "Optimal Unsupervised Learning in a Single-Layer Linear + Feedforward Neural Network", + journal = nn, + volume = "2", + pages = "459--473", + year = "1989", +} + +@InProceedings{Sanger89b, + author = "T. D. Sanger", + editor = NIPS1ed, + booktitle = NIPS1, + title = "An Optimality Principle for Unsupervised Learning", + publisher = "Morgan Kaufmann, San Mateo", + address = "Denver, CO", + pages = "11--19", + year = "1989", +} + +@article{Sanger-1994, + author = {Terence D. Sanger}, + title = {Neural network learning control of robot manipulators + using gradually increasing task difficulty}, + journal = {{IEEE} Transactions on Robotics and Automation}, + volume = 10, + number = 3, + year = 1994, +} + +@article{Sanger-1994-small, + author = {Terence D. Sanger}, + title = {Neural network learning control of robot manipulators + using gradually increasing task difficulty}, + journal = {{IEEE} Trans. on Robotics and Automation}, + volume = 10, + number = 3, + year = 1994, +} + +@InProceedings{sarawagi03, + author = "Sunita Sarawagi and Soumen Chakrabarti and Shantanu + Godbole", + booktitle = "KDD '03: Proceedings of the ninth ACM SIGKDD + international conference on Knowledge discovery and + data mining", + title = "Cross-training: learning probabilistic mappings + between topics", + publisher = "ACM Press", + address = "New York, NY, USA", + pages = "177--186", + year = "2003", + location = "Washington, D.C.", +} + +@article{Sarkar-Moore-2005, + author = {P. Sarkar and A. Moore}, + title = {Dynamic social network analysis using latent space models}, + journal = {{SIGKDD} Explorations}, + volume = 7, + number = 2, + pages = {31--40}, + year = 2005, +} + +@Article{Sato90, + author = "M. Sato", + title = "A Real Time Learning Algorithm for Recurrent Analog + Neural Networks", + journal = biocyb, + volume = "62", + pages = "237--241", + year = "1990", +} + +@Article{Saul+96, + author = "Lawrence K. Saul and Tommi Jaakkola and Michael I. Jordan", + title = "Mean field theory for sigmoid belief networks", + journal = "Journal of Artificial Intelligence Research", + volume = "4", + pages = "61--76", + year = "1996", +} + +@Article{Saul+Roweis-2002, + author = "L. Saul and S. Roweis", + title = "Think globally, fit locally: unsupervised learning of + low dimensional manifolds", + journal = jmlr, + volume = "4", + number = "", + pages = "119--155", + month = "", + year = "2002", +} + +@InProceedings{Saul95, + author = "Lawrence K. Saul and Michael I. Jordan", + editor = NIPS7ed, + booktitle = NIPS7, + title = {Boltzmann Chains and Hidden Markov Models}, + publisher = "MIT Press, Cambridge, MA", + pages = "435--442", + year = "1995", +} + +@InProceedings{Saul96, + author = "Lawrence K. Saul and Michael I. Jordan", + editor = NIPS8ed, + booktitle = NIPS8, + title = "Exploiting tractable substructures in intractable + networks", + publisher = "MIT Press, Cambridge, MA", + year = "1996", +} + +@InProceedings{SaulJordan97, + author = "Lawrence K. Saul and Michael I. Jordan", + editor = NIPS9ed, + booktitle = NIPS9, + title = "A variational model for model-based interpolation", + publisher = "MIT Press", + pages = "375", + year = "1997", +} + +@Article{Saund-1989, + author = "Eric Saund", + title = "Dimensionality-reduction using connectionist + networks", + journal = "{IEEE} Transactions on Pattern Analysis and Machine + Intelligence", + volume = "11", + number = "3", + pages = "304--314", + year = "1989", +} + +@InCollection{Scalettar88, + author = "R. Scalettar and A. Zee", + editor = "D. Waltz and J. A. Feldman", + booktitle = "Connectionist Models and Their Implications: Readings + from Cognitive Science", + title = "Emergence of Grandmother Memory in Feed Forward + Networks: Learning with Noise and Forgetfulness", + publisher = "Ablex", + address = "Norwood", + pages = "309--332", + year = "1988", +} + +@Article{schapire-90, + author = "Robert E. Schapire", + title = "The strength of weak learnability", + journal = "Machine Learning", + volume = "5", + number = "2", + pages = "197--227", + year = "1990", +} + +@Article{Schapire-margin98, + author = "Robert E. Schapire and Yoav Freund and Peter Bartlett + and Wee Sun Lee", + title = "Boosting the margin: {A} new explanation for the + effectiveness of voting methods", + journal = "The Annals of Statistics", + volume = "26", + number = "5", + pages = "1651--1686", + year = "1998", +} + +@InProceedings{schapire99theoretical, + author = "Robert E. Schapire", + booktitle = "Algorithmic Learning Theory, 10th International + Conference, {ALT} '99, Tokyo, Japan, December 1999, + Proceedings", + title = "Theoretical Views of Boosting and Applications", + volume = "1720", + publisher = "Springer", + pages = "13--25", + year = "1999", + URL = "http:citeseer.ist.psu.edu/article/schapire99theoretical.html", +} + +@InProceedings{SchapireSinger98, + author = "R. E. Schapire and Y. Singer", + booktitle = "Proceedings of the 11th Annual Conference on + Computational Learning Theory", + title = "Improved Boosting Algorithms Using Confidence Rated + Predictions", + year = "1998", +} + +@Book{SchBurSmo99, + author = "B. {Sch\"olkopf} and C. J. C. Burges and A. J. Smola", + title = "Advances in Kernel Methods --- Support Vector + Learning", + publisher = "MIT Press", + address = "Cambridge, MA", + year = "1999", +} + +@InProceedings{ScheinA2001, + author = "Andrew I. Schein and Alexandrin Popescul and Lyle H. + Ungar and David M. Pennock", + booktitle = "Workshop on Recommender Systems at SIGIR", + title = "Generative Models for Cold-Start Recommendations", + year = "2001", +} + +@InProceedings{ScheinA2002, + author = "Andrew I. Schein and Alexandrin Popescul and Lyle H. + Ungar and David M. Pennock", + booktitle = "SIGIR '02", + title = "Methods and metrics for cold-start recommendations", + publisher = "ACM Press", + address = "New York, NY, USA", + pages = "253--260", + year = "2002", +} + +@InCollection{Scheines94, + author = "R. Scheines", + editor = "P. Cheeseman and R. W. Oldford", + booktitle = "Selecting Models from Data: Artificial Intelligence + and Statistics {IV}", + title = "Inferring causal structure among unmeasured + variables", + publisher = "Springer-Verlag", + pages = "197--204", + year = "1994", +} + +@InProceedings{Schenkel93, + author = "M. Schenkel and H. Weissman and I. Guyon and C. Nohl + and D. Henderson", + editor = NIPS5ed, + booktitle = NIPS5, + title = "Recognition-Based Segmentation of On-Line Hand-Printed + Words", + address = "Denver, CO", + pages = "723--730", + year = "1993", +} + +@Article{schenkel95, + author = "M. Schenkel and I. Guyon and D. Henderson", + title = "On-line Cursive Script Recognition using Time Delay + Neural Networks and Hidden {Markov} Models", + journal = "{Machine} {Vision} and {Applications}", + publisher = "Springer Verlag", + pages = "215--223", + year = "1995", +} + +@InProceedings{SchGra03, + author = "Nicol N. Schraudolph and Thore Graepel", + editor = "Christopher M. Bishop and Brendan J. Frey", + booktitle = "Proc.\ 9th Intl.\ Workshop Artificial Intelligence and + Statistics (AIstats)", + title = "Combining Conjugate Direction Methods with Stochastic + Approximation of Gradients", + publisher = "Society for Artificial Intelligence and Statistics", + address = "Key West, Florida", + pages = "7--13", + year = "2003", + ISBN = "0-9727358-0-1", + abstract = "The method of conjugate directions provides a very + effective way to optimize large, deterministic systems + by gradient descent. In its standard form, however, it + is not amenable to stochastic approximation of the + gradient. Here we explore ideas from conjugate gradient + in the stochastic (online) setting, using fast + Hessian-gradient products to set up low-dimensional + Krylov subspaces within individual mini-batches. In our + benchmark experiments the resulting online learning + algorithms converge orders of magnitude faster than + ordinary stochastic gradient descent.", +} + +@Article{Schmidhuber92, + author = "J{\"u}rgen Schmidhuber", + title = "Learning Complex, Extended Sequences using the + Principle of History Compression", + journal = nc, + volume = "4", + number = "2", + pages = "234--242", + year = "1992", +} + +@Article{Schmidhuber96, + author = "J{\"u}rgen Schmidhuber", + title = "Sequential Neural Text Compression", + journal = "IEEE Transactions on Neural Networks", + volume = "7", + number = "1", + pages = "142--146", + year = "1996", +} + +@InCollection{Schmidt-2006, + author = "Volker Schmidt", + booktitle = "Lecture Notes, Summer 2006", + title = {Markov Chains and Monte-Carlo Simulation}, + address = "Ulm University, Department of Stochastics", + year = "2006", + URL = "http://www.mathematik.uni-ulm.de/stochastik/lehre/ss06/markov/skript-engl/skript-engl.htm", +} + +@Article{Schmitt-2002, + author = "M. 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Stud.", + volume = "35", + number = "3", + publisher = "Academic Press Ltd.", + address = "London, UK", + pages = "291--311", + year = "1991", +} + +@article{Sudderth-2007, + author = {Erik B. Sudderth and Antonio Torralba and William T. Freeman and Alan S. Willsky}, + title = {Describing visual scenes using transformed objects and parts}, + journal = {Int. Journal of Computer Vision}, + volume = 77, + publisher = {Springer}, + pages = "291--330", + year = "2007", +} + +@article{Sugiyama-2007, + author = {Masashi Sugiyama}, + title = {Dimensionality reduction of multimodal labeled data by local {F}isher discriminant analysis}, + journal = jmlr, + year = {2007}, + volume = {8}, + pages = {1027--1061} +} + +@InProceedings{Sun-ijcnn90, + author = "G. Z. Sun and H. H. Chen and Y. C. Lee and C. 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Hinton", + title = "Deep Narrow Sigmoid Belief Networks are Universal + Approximators", + journal = "Neural Computation", + volume = "to appear", + year = "2008", +} + +@Book{Sutton+Barto-98, + author = "Richard Sutton and Andrew Barto", + title = "Reinforcement Learning: An Introduction", + publisher = "MIT Press", + year = "1998", +} + +@InCollection{sutton06introduction, + author = "Charles Sutton and Andrew McCallum", + editor = "Lise Getoor and Ben Taskar", + booktitle = "Introduction to Statistical Relational Learning", + title = "An Introduction to Conditional Random Fields for + Relational Learning", + publisher = "MIT Press", + year = "2006", + note = "", + URL = "publications/crf-tutorial.pdf", + tags = "recent", +} + +@PhdThesis{Sutton84, + author = "R. S. Sutton", + title = "Temporal Credit Assignment in Reinforcement Learning", + school = "University of Massachusetts", + address = "Amherst", + year = "1984", +} + +@Article{Sutton88, + author = "R. S. Sutton", + title = "Learning to Predict by the Methods of Temporal + Differences", + journal = mlearn, + volume = "3", + pages = "9--44", + year = "1988", +} + +@InCollection{Sutton91, + author = "R. S. Sutton and A. G. Barto", + editor = "M. Gabriel and J. W. Moore", + booktitle = "Learning and Computational Neuroscience", + title = "Time Derivative Models of Pavlovian Reinforcement", + publisher = "MIT Press", + address = "Cambridge", + year = "1991", +} + +@InProceedings{Sutton95, + author = "R. S. Sutton", + booktitle = "Proceedings of the 12th International Conference on + Machine Learning", + title = "{TD} models: modeling the world at a mixture of time + scales", + publisher = "Morgan Kaufmann", + year = "1995", +} + +@InProceedings{Szu86, + author = "H. Szu", + editor = "J. S. Denker", + booktitle = snowbird, + title = "Fast Simulated Annealing", + publisher = "American Institute of Physics, New York", + address = "Snowbird 1986", + pages = "420--425", + year = "1986", +} + +@InProceedings{Szummer+Jaakkola-2002, + author = "M. Szummer and T. Jaakkola", + editor = NIPS14ed, + booktitle = NIPS14, + title = "Partially labeled classification with Markov random + walks", + publisher = "{MIT} Press", + address = "Cambridge, MA", + year = "2002", +} + + +@article{Takabatake+al-2007, + author = {Hiroki Takabatake and Manabu Kotani and Seiichi Ozawa}, + title = {Feature extraction by supervised independent component analysis based on category information}, + journal = {Electrical Engineering in Japan}, + volume = 161, + number = 2, + pages = {25--32}, + year = 2007, +} + +@InProceedings{TakahashiN2001, + author = "Naoto Takahashi and Minoru Motoki and Yoshio Shimazu + and Yoichi Tomiura and Tory Hitaka", + booktitle = "Proceedings of the Second Workshop on Natural Language + Processing and Neural Networks", + title = "{PP}-attachment Ambiguity Resolution Using a Neural + Network with Modified {FGREP} Method", + address = "Tokyo", + year = "2001", +} + +@InProceedings{Takens81, + author = "F. Takens", + editor = "D. A. Rand and L.-S. Young", + booktitle = "Dynamical Systems and Turbulenc", + title = "Detecting Strange Attractors In Turbulence", + volume = "898", + publisher = "Springer-Verlag, Berlin", + address = "Warwick 1980", + pages = "366--381", + year = "1981", + series = "Lecture Notes in Mathematics", +} + +@Article{Takeuchi79, + author = "A. Takeuchi and S. Amari", + title = "Formation of Topographic Maps and Columnar + Microstructures in Nerve Fields", + journal = biocyb, + volume = "35", + pages = "63--72", + year = "1979", +} + +@InCollection{Tam+Perkel89, + author = "Tam D. C. and Perkel D. H.", + editor = "Hawkins R. D. and Bower G. H.", + booktitle = "Computational Models of Learning in Simple Neural + Systems", + title = "Quantitative modeling of synaptic plasticity", + publisher = "Academic Press", + pages = "1--30", + year = "1989", +} + +@Article{Tank86, + author = "D. W. Tank and J. J. 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Tanner", + title = "Tools for statistical inference: Methods for + exploration of posterior distributions and likelihood + functions", + publisher = "Springer", + address = "New York", + year = "1993", +} + +@Article{Tappert90, + author = "C. Tappert and C. Suen and T. Wakahara", + title = "The state of the art in on-line handwriting + recognition", + journal = ieeetpami, + volume = "8", + number = "12", + pages = "787--808", + year = "1990", +} + +@InCollection{Taylor+2007, + author = "Graham Taylor and Geoffrey E. Hinton and Sam Roweis", + editor = NIPS19ed, + booktitle = NIPS19, + title = "Modeling Human Motion Using Binary Latent Variables", + publisher = "MIT Press", + address = "Cambridge, MA", + pages = "1345--1352", + year = "2007", +} + +%%FRED: I deprecate this one as the years in the tag is not the one for the publication but the conference! +@InProceedings{Taylor2006, + author = "Graham Taylor and Geoffrey E. Hinton and Sam Roweis", + editor = NIPS19ed, + booktitle = NIPS19, + title = "Modeling Human Motion Using Binary Latent Variables", + publisher = "MIT Press", + address = "Cambridge, MA", + pages = "1345--1352", + year = "2007", +} + +@InProceedings{Taylor2006-small, + author = "Graham Taylor and Geoffrey E. Hinton and Sam Roweis", + booktitle = "NIPS 20", + title = "Modeling Human Motion Using Binary Latent Variables", + year = "2006", +} + +@InProceedings{TaylorHintonICML2009, + author = {Graham Taylor and Geoffrey Hinton}, + title = {Factored Conditional Restricted {Boltzmann} Machines for Modeling Motion Style}, + booktitle = {Proceedings of the 26th International Conference on Machine Learning (ICML'09)}, + pages = {1025--1032}, + year = 2009, + editor = {L\'{e}on Bottou and Michael Littman}, + address = {Montreal}, + month = {June}, + publisher = {Omnipress} +} + +@InProceedings{Taylor56, + author = "W. K. Taylor", + editor = "C. Cherry", + booktitle = "Information Theory", + title = "Electrical Simulation of Some Nervous System + Functional Activities", + publisher = "Butterworths, London", + address = "London 1985", + pages = "314--328", + year = "1956", +} + +@InProceedings{Tebelskis91, + author = "J. Tebelskis and A. Waibel and B. Petek and O. + Schmidbauer", + editor = NIPS3ed, + booktitle = NIPS3, + title = "Continuous Speech Recognition Using Linked Predictive + Networks", + publisher = "Morgan Kaufmann, San Mateo", + address = "Denver, CO", + pages = "199--205", + year = "1991", +} + +@Article{Teh-2003, + author = "{Yee Wye} Teh and Max Welling and Simon Osindero and + Geoffrey E. Hinton", + title = "Energy-Based Models for Sparse Overcomplete + Representations", + journal = jmlr, + volume = "4", + pages = "1235--1260", + year = "2003", +} + +@InProceedings{Teh-Roweis-2003, + author = "Y. Whye Teh and S. Roweis", + editor = NIPS15ed, + booktitle = NIPS15, + title = "Automatic Alignment of Local Representations", + publisher = "{MIT} Press", + year = "2003", +} + +@article{TehY2006, +title= "Hierarchical {D}irichlet Processes", +author= "Y. W. Teh and M. I. Jordan and M. J. Beal and D. M. Blei", +journal= "Journal of the American Statistical Association", +volume= "101", +number= "476", +pages= "1566-1581", +year= "2006" +} + +@Article{tenenbaum00separating, + author = "Joshua B. Tenenbaum and William T. Freeman", + title = "Separating Style and Content with Bilinear Models", + journal = "Neural Computation", + volume = "12", + number = "6", + pages = "1247--1283", + year = "2000", +} + +@Article{Tenenbaum2000-isomap, + author = "Joshua Tenenbaum and Vin {de Silva} and John C. Langford", + title = "A Global Geometric Framework for Nonlinear + Dimensionality Reduction", + journal = "Science", + volume = "290", + number = "5500", + pages = "2319--2323", + month = dec, + year = "2000", +} + +@Article{Terrell+Scott-1992, + author = "G. R. Terrell and D. W. Scott", + title = "Variable Kernel Density Estimation", + journal = "Annals of Statistics", + volume = "20", + pages = "1236--1265", + year = "1992", +} + +@Article{Tesauro86, + author = "G. Tesauro", + title = "Simple Neural Models of Classical Conditioning", + journal = biocyb, + volume = "55", + pages = "187--200", + year = "1986", +} + +@Article{Tesauro88a, + author = "G. Tesauro and B. Janssens", + title = "Scaling Relationships in Back-Propagation Learning", + journal = cs, + volume = "2", + pages = "39--44", + year = "1988", +} + +@InProceedings{Tesauro88b, + author = "G. Tesauro and T. J. 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Solla", + booktitle = ijcnn, + title = "Consistent Inference of Probabilities in Layered + Networks: Predictions and Generalization", + volume = "2", + publisher = "IEEE, New York", + address = "Washington 1989", + pages = "403--410", + year = "1989", +} + +@InProceedings{Titov+Henderson-2007, + author = "Ivan Titov and James Henderson", + booktitle = "Proc. 45th Meeting of Association for Computational + Linguistics (ACL'07)", + title = "Constituent Parsing with Incremental Sigmoid Belief + Networks", + address = "Prague, Czech Republic", + pages = "632--639", + year = "2007", + URL = {http://aclweb.org/anthology-new/P/P07/P07-1080.pdf}, +} + +@InProceedings{ToMa00, + author = "Kristina Toutanova and Christopher D. Manning", + booktitle = "EMNLP/VLC 2000", + title = "Enriching the Knowledge Sources Used in a Maximum + Entropy Part-of-Speech Tagger", + pages = "63--70", + year = "2000", +} + +@InProceedings{Tomita82, + author = "M. 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Shawlik", + editor = NIPS4ed, + booktitle = NIPS4, + title = "Interpretation of Artificial Neural Networks: Mapping + Knowledge-Based Neural Networks into Rules", + publisher = "Morgan Kaufmann", + address = "San Mateo CA", + year = "1992", +} + +@InProceedings{towell93, + author = "G. G. Towell and J. W. Shavlik", + editor = NIPS4ed, + booktitle = NIPS4, + title = "Interpretation of Artificial Neural Networks: Mapping + Knowledge-Based Neural Networks into rules", + publisher = "Morgan Kaufmann", + address = "San Meteo, CA", + pages = "977--984", + year = "1992", +} + +@InProceedings{Towell-aaai90, + author = "G. G. Towell and J. W. Shawlick and M. O. Noordewier", + booktitle = "Proceedings of the Eighth National Conference on + Artificial Intelligence (AAAI-90)", + title = "Refinement of Approximate Domain Theories by + Knowledge-Based Neural Networks", + pages = "861--866", + year = "1990", + OPTnote = "", +} + +@TechReport{TR:Breiman.arcing, + author = "Leo Breiman", + title = "Bias, variance, and Arcing classifiers", + number = "460", + institution = "Statistics Department, University of California at + Berkeley", + year = "1996", +} + +@TechReport{TR:Breiman:edge, + author = "Leo Breiman", + title = "Arcing the edge", + number = "486", + institution = "Statistics Department, University of California at + Berkeley", + year = "1997", +} + +@TechReport{TR:Breiman:gametheorie, + author = "Leo Breiman", + title = "Prediction games and arcing classifiers", + number = "504", + institution = "Statistics Department, University of California at + Berkeley", + year = "1997", +} + +@TechReport{TR:Friedman+Hastie+Tibshirani:AdaBoost-theory, + author = "J. 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G. and Bengio, Y.}, + title = {The {Z}-Coder Adaptive Binary Coder}, + booktitle = {Proceedings of the Conference on Data Compression (DCC'98)}, + year = {1998}, + pages = {13}, + publisher = {IEEE Computer Society}, + address = {Washington, DC, USA}, + } + +@inproceedings{Pigeon+Bengio-1998, + author = {Steven Pigeon and + Yoshua Bengio}, + title = {A Memory-Efficient Adaptive Huffman Coding Algorithm for + Very Large Sets of Symbols}, + booktitle = {Proceedings of the Conference on Data Compression (DCC'98)}, + year = {1998}, + pages = {568}, + ee = {http://dlib.computer.org/conferen/dcc/8406/pdf/84060568.pdf}, + bibsource = {DBLP, http://dblp.uni-trier.de} +} + +@INPROCEEDINGS{LeCun+Bottou+Bengio-1997, +title={Reading checks with multilayer graph transformer networks}, +author={Yann LeCun and Bottou, L. and Bengio, Y.}, +booktitle={IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'97)}, +year={1997}, +month={Apr}, +volume={1}, +pages={151--154}, +keywords={backpropagation, banking, cheque processing, document image processing, image segmentation, optical character recognitionbusiness checks, business cheques, check reading system, cheque reading system, convolutional neural network character recognizers, gradient-based learning algorithms, graph-based stochastic models, machine learning paradigm, multilayer graph transformer networks, personal checks, personal cheques}, +doi={10.1109/ICASSP.1997.599580}, + } + +@INPROCEEDINGS{Rahim97discriminativefeature, + author = {Mazin Rahim and Yoshua Bengio and Yann {LeCun}}, + title = {Discriminative Feature And Model Design For Automatic Speech Recognition}, + booktitle = {In Proc. of Eurospeech}, + year = {1997}, + pages = {75--78} +} + +@InProceedings{Bengio-nncm-1996, +author = {Yoshua Bengio}, +title = {Training A Neural Network with a Financial Criterion Rather then a Prediction Criterion}, +booktitle = {Proceedings of the Fourth International Conference on Neural Networks in the Capital Markets (NNCM-96)}, +editor = { A.S. Weigend and Y.S Abu-Mostafa and A.-P.N. Regenes}, +publisher = {World Scientific}, +pages = {433--443}, +year = "1997", +} + +@INPROCEEDINGS{Bengio+Bengio+Cloutier-1994, +title={Use of genetic programming for the search of a new learning rule for neural networks}, +author={Bengio, S. and Bengio, Y. and Cloutier, J.}, +booktitle={Proceedings of the First IEEE Conference on Evolutionary Computation}, +year={1994}, +month={Jun}, +pages={324-327 vol.1}, +keywords={ backpropagation, genetic algorithms, learning (artificial intelligence), neural nets, optimisation, search problems backpropagation algorithm, classification tasks, genetic algorithms, genetic programming, gradient descent, learning rule, neural networks, optimization, parametric function, rule parameters, search, simulated annealing, standard optimization methods}, +doi={10.1109/ICEC.1994.349932}, +} + +@article{Chakraborty+al-2002, + author = {Chakraborty, Basabi and Chakraborty, Goutam}, + title = {A new feature extraction technique for on-line recognition of handwritten alphanumeric characters}, + journal = {Inf. Sci. Appl.}, + volume = {148}, + number = {1-4}, + year = {2002}, + issn = {0020-0255}, + pages = {55--70}, + doi = {http://dx.doi.org/10.1016/S0020-0255(02)00276-1}, + publisher = {Elsevier Science Inc.}, + address = {New York, NY, USA}, + } + + +@INPROCEEDINGS{LeCun+al-1993, +title={On-Line handwriting recognition with neural networks: spatial representation versus temporal representation}, +author={{LeCun}, Y and Bengio, Y. and Henderson, D. and Weisbuch, A.}, +booktitle={Proceedings of the International Conference on Handwriting and Drawing}, +year={1993}, +location= {Ecole Nationale Superieure des Telecommunications}, +} + +@INPROCEEDINGS{Bengio+al-92, + author = {Yoshua Bengio and Samy Bengio and Jocelyn Cloutier and Jan Gecsei}, + title = {On the Optimization of a Synaptic Learning Rule}, + booktitle = {in Conference on Optimality in Biological and Artificial Networks}, + year = {1992} +} + +@INPROCEEDINGS{Bengio+al-91, + author = {Yoshua Bengio and Samy Bengio and Jocelyn Cloutier and Jan Gecsei}, + title = {Learning a Synaptic Learning Rule}, + booktitle = ijcnn, + location = "Seattle, WA", + pages = "II-A969", + year = {1991} +} + +@INPROCEEDINGS{Bengio91acomparative, + author = {Yoshua Bengio and Renato De Mori and Giovanni Flammia and Ralf Kompe}, + title = {A Comparative Study On Hybrid Acoustic Phonetic Decoders Based On Artificial Neural Networks}, + booktitle = {Proceeding of EuroSpeech}, + location = {Genova, Italy}, + year = {1991} +} + +@inproceedings { lecun-01a, +original = "orig/lecun-01a.ps.gz", +author = "{LeCun}, Y. and Bottou, L. and Bengio, Y. and Haffner, P.", +title = "Gradient-Based Learning Applied to Document Recognition", +booktitle = "Intelligent Signal Processing", +editors = "Haykin, S. and Kosko, B.", +pages = "306-351", +publisher = "IEEE Press", +note = "chap. 9", +year = 2001, +} + +@InCollection{Hochreiter+al-2000, + abstract = {Introduction Recurrent networks (crossreference Chapter 12) can, in principle, use their feedback connections to store representations of recent input events in the form of activations. The most widely used algorithms for learning what to put in short-term memory, however, take too much time to be feasible or do not work well at all, especially when minimal time lags between inputs and corresponding teacher signals are long. Although theoretically fascinating, they do not provide clear practical advantages over, say, backprop in feedforward networks with limited time windows (see crossreference Chapters 11 and 12). With conventional \&\#034;algorithms based on the computation of the complete gradient\&\#034;, such as \&\#034;Back-Propagation Through Time\&\#034; (BPTT, e.g., [22, 27, 26]) or \&\#034;Real-Time Recurrent Learning\&\#034; (RTRL, e.g., [21]) error signals \&\#034;flowing backwards in time\&\#034; tend to either (1) blow up or (2) vanish: the temporal evolution of the backpropagated error ex}, + author = {Hochreiter, Sepp and Informatik, Fakultat F. and Bengio, Yoshua and Frasconi, Paolo and Schmidhuber, Jurgen}, + citeulike-article-id = {4450697}, + citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.7321}, + keywords = {gradient-descent, long-term-dependencies, rnn}, + posted-at = {2009-05-02 00:58:01}, + priority = {2}, + title = {Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies}, + url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.7321}, + booktitle = "Field Guide to Dynamical Recurrent Networks", + editor = "J. Kolen and S. Kremer", + publisher = "IEEE Press", + year = "2000", +} + +@INPROCEEDINGS{Lecun99objectrecognition, + author = {Yann {LeCun} and Patrick Haffner and Léon Bottou and Yoshua Bengio}, + title = {Object Recognition with Gradient-Based Learning}, + booktitle = {Shape, Contour and Grouping in Computer Vision}, + year = {1999}, + publisher = {Springer}, + pages = {319--345}, +} + + +% non-ref conference +@MISC{snowbird_learn_conf, +title = "Snowbirds papers", +author = "many authors", +howpublished = "Learning Conference, Snowbird", +location = "Utah", +year = "many", +} + +@MISC{Collobert+Bengio-2001, +title = "Magic Mix", +author = "Collobert, R. and Bengioy, Y.", +year = "2002", +howpublished = "Learning Conference, Snowbird", +location = "Utah", +} + +@MISC{Bengio+al-2001, +title = "Learning a Distributed Representation for Statistical Language Modeling and Information Retrieval", +author = "Yoshua Bengio and Pascal Vincent and Florence d'Alché-Buc", +year = "2001", +howpublished = "Learning Conference, Snowbird", +location = "Utah", +} + +@MISC{Bengio+Nadeau-2000, +title = "About Realistic Comparisons Between Learning Algorithms", +author = "Yoshua Bengio and C. Nadeau", +year = "2000", +howpublished = "Learning Conference, Snowbird", +location = "Utah", +} +@MISC{Bengio-1999, +title = "Learning from Structured High-Dimensional Data", +author = "Yoshua Bengio", +howpublished = "Meeting of the Mathematical Society of Canada", +location = "Montreal, Canada", +year = "1999", +} + +@MISC{Bengio+al-1999, +title = "Gradient-Based Learning of Hyper-Parameters", +author = "Yoshua Bengio and S. Latendresse and Charles Dugas", +year = "1999", +howpublished = "Learning Conference, Snowbird", +location = "Utah", +} + +@MISC{Bengio+al-1999b, +title = "Learning Algorithms for Sorting Compounds from Titration Curves", +author = "Yoshua Bengio and J-J. Brault and F. Major and R. Neal and S. Pigeon", +howpublished = "Symposium on New Perspectives for Computer-Aided Drug Design", +location = "Montreal, Canada", +year = "1999", +} + +@MISC{Bengio+al-1998, +title = "Stochastic learning of strategic equilibria for auctions", +author = "Yoshua Bengio and S. Latendresse and Charles Dugas", +howpublished = "Machines That Learn Conference, Snowbird", +location = "Utah", +year = "1998", +} + +@MISC{Bengio+al-1997, +title = "On the Clusterization of Probabilistic Transducers", +author = "Bengio, Y. and Bengio, S. and Singer, Y. and Isabelle, J-F.", +howpublished = "1997 Neural Networks for Computing Conference, Snowbird", +location = "Utah", +year = "1997", +} + +@MISC{Bengio-1995, +title = "Fast High Capacity Classifiers", +author = "Bengio, Y. and Bengio, S. and Singer, Y. and Isabelle, J-F.", +howpublished = "1995 Neural Networks for Computing Conference, Snowbird", +location = "Utah", +year = "1997", +} + +@MISC{Bengio+Frasconi-1994, +title = "Réseaux de neurones Markoviens pour l'inférence grammaticale", +author = "Bengio, Y. and Frasconi, P.", +howpublished = "1994 ACFAS Conference, neural networks colloquium", +location = "Montréal, Québec", +year = "1994", +} + +@MISC{Bengio+LeCun-1994, +title = "Reconnaissance de mots manuscrits avec réseaux de neurones et modèles de Markov", +author = "Bengio, Y. and {LeCun}, Y.", +howpublished = "1994 ACFAS Conference, neural networks colloquium", +location = "Montréal, Québec", +year = "1994", +} + +@MISC{Bengio+al-1994, +title = "Optimisation d'une règle d'apprentissage pour réseaux de neurones artificiels", +author = "Bengio, S. and Bengio, Y. and Cloutier, J. and Gecsei, J.", +howpublished = "1994 ACFAS Conference, neural networks colloquium", +location = "Montréal, Québec", +year = "1994", +} + +@MISC{Bengio+Frasconi-1994b, +title = "An {EM} Algorithm for Target Propagation", +author = "Bengio, Y. and Frasconi P.", +howpublished = "1994 Neural Networks for Computing Conference, Snowbird", +location = "Utah", +year = "1994", +} + +@MISC{Bengio+al-1993, +title = "The Problem of Learning Long-Term Dependencies in Recurrent Networks", +author = "Bengio, Y. and Simard, P. and Frasconi P.", +howpublished = "1994 Neural Networks for Computing Conference, Snowbird", +location = "Utah", +year = "1993", +} +@MISC{Bengio-1992, +title = "Representations Based on Articulatory Dynamics for Speech Recognition", +author = "Bengio, Y.", +howpublished = "1992 Neural Networks for Computing Conference, Snowbird", +location = "Utah", +year = "1992", +} + +@MISC{Bengio+al-1991, +title = "Learning a Synaptic Learning Rule", +author = "Bengio, Y. and Bengio, S. and Cloutier, J.", +howpublished = "1991 Neural Networks for Computing Conference, Snowbird", +location = "Utah", +year = "1991", +} + +@MISC{Bengio+DeMori-1990, +title = "Recurrent networks with Radial Basis Functions for speech recognition", +author = "Bengio, Y. and De Mori, R.", +howpublished = "1990 Neural Networks for Computing Conference, Snowbird", +location = "Utah", +year = "1991", +} + + +%%tech repport +@TechReport{Bardou+Bengio-TR2002, + author = "O. Bardou and Yoshua Bengio", + title = "Régularisation du prix des option : Stacking", + institution = "Cahier Scientifique Cirano 2002s-44", + year = "2002", +} + +@TechReport{Dugas+Bengio-TR2002, + author = "O. Bardou and Yoshua Bengio", + title = "Étude du biais dans le prix des options", + institution = "Cahier Scientifique Cirano 2002s-45", + year = "2002", +} + +@TechReport{Dugas+al-TR2002, + author = "C. Dugas and Y. Bengio and F. Bélisle and C. Nadeau and R. Garcia", + title = "Incorporating Second-Order Functional Knowledge for Better Option Pricing", + institution = "Cahier Scientifique Cirano 2002s-46", + year = "2002", +} + +@TechReport{Bengio+al-TR2002, + author = "Y. Bengio and V.-P. Lauzon and R. Ducharme", + title = "Experiments on the Application of IOHMMs to Model Financial Returns Series", + institution = "Cahier Scientifique Cirano 2002s-47", + year = "2002", +} + +@TechReport{Bengio+al-TR2002b, + author = "Y. Bengio and R. Ducharme and O. Bardou and N. Chapados", + title = "Valorisation d'options par optimisation du Sharpe Ratio", + institution = "Cahier Scientifique Cirano 2002s-48", + year = "2002", +} + +@TechReport{Chapados+Bengio-TR2002, + author = "N. Chapados and Y. Bengio", + title = "Cost Functions and Model Combination for VaR-based Asset Allocation using + Neural Networks", + institution = "Cahier Scientifique Cirano 2002s-49", + year = "2002", +} + +@TechReport{Bengio+Dugas-TR2002, + author = "Y. Bengio and C. Dugas", + title = "Forecasting Non-Stationary Volatility with Hyper-Parameters", + institution = "Cahier Scientifique Cirano 2002s-50", + year = "2002", +} + +@TechReport{Gingras+al-TR2002, + author = "F. Gingras and Y. Bengio and C. Nadeau", + title = "On Out-of-Sample Statistics for Time-Series", + institution = "Cahier Scientifique Cirano 2002s-51", + year = "2002", +} + +@TechReport{Chapados+Bengio-TR2002b, + author = "N. Chapados and Y. Bengio", + title = "Input Decay : Simple and Effective Soft Variable Selection", + institution = "Cahier Scientifique Cirano 2002s-52", + year = "2002", +} + +@TechReport{Ghosn+Bengio-TR2002, + author = "J. Ghosn and Y. Bengio", + title = "Multi-Task Learning For Option Pricing", + institution = "Cahier Scientifique Cirano 2002s-53", + year = "2002", +} + +@TechReport{Collobert+al-TR2001, + author = "J. Ghosn and Y. Bengio", + title = "A Parallel Mixture of {SVM}s for Very Large Scale Problems", + institution = "IDIAP", + location = "Switzerland", + number = "IDIAP-RR-01-12", + year = "2001", +} + +@TechReport{Vincent+Bengio-TR2001, + author = "Vincent, P. and Bengio, Y.", + title = "K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms", + institution = DIRO, + location = "Switzerland", + number = "1197", + year = "2001", +} + +@TechReport{Chapados+al-TR2001, + author = "Chapados, N. and Bengio, Y. and Vincent, P. and Ghosn, J. and Dugas, C. and Takeuchi, I. and Meng, L.", + title = "Estimating Car Insurance Premia : a Case Study in High-Dimensional Data Inference", + institution = DIRO, + number = "1199", + year = "2001", +} + +@TechReport{Bengio+Chapados-TR2001, + author = "Chapados, N. and Bengio, Y. and Vincent, P. and Ghosn, J. and Dugas, C. and Takeuchi, I. and Meng, L.", + title = "Extending Metric-Based Model Selection and Regularization in the Absence of Unlabeled Data", + institution = DIRO, + number = "1200", + year = "2001", +} + +@TechReport{Nadeau+Bengio-TR1999, + author = "Nadeau, C. and Bengio, Y.", + title = "Inference and the Generalization Error", + institution = "Cahier Scientifique Cirano 99s-25", + year = "2002", +} + +@TechReport{Gingras+al-TR1999, + author = "Gingras, F. and Bengio, Y. and Nadeau, C.", + title = "On Out-of-Sample Statistics for Financial Time-Series", + institution = "Centre de Recherches Mathématiques, Université de Montreal", + number = "2585", + year = "1999", +} + +@TechReport{Bengio-1998-TR, + author = "Bengio, Y.", + title = "Using a financial training criterion rather than a prediction criterion", + institution = "Cahier Scientifique Cirano 98s-21", + year = "1998", +} + +@TechReport{Bengio+DeMori-1990-TR, + author = "Bengio, Y. and De Mori, R.", + title = "Some connectionist models and their application to speech recognition", + institution = "School of Computer Science, McGill University", + number = "TR-SOCS-90-12", + year = "1990", +} + +@article{becker+hinton:1993, + author = {Becker, S. and Hinton, G. 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Linsker", + editor = NIPS1ed, + booktitle = NIPS1, + title = "An application of the principle of maximum information +preservation to linear systems", + publisher = NIPS1publ, + year = "1989", +} + +@Article{An96AddingNoise, + author = "Guozhong An", + title = "The effects of adding noise during backpropagation training on a generalization performance", + journal = "Neural Computation", + volume = "8", + number = "3", + pages = "643--674", + year = "1996", +} + +@article{DruckerLeCun92, + author = {Harris Drucker and Yann LeCun}, + title = {Improving generalisation performance using double back-propagation.}, + journal = {IEEE Transactions on Neural Networks}, + number = {6}, + pages = {991--997}, + volume = {3}, + year = {1992} +} + +@Article{BellSejnowski-97, + author = "A. Bell and T. J. Sejnowski", + title = "The independent components of natural scenes are edge filters", + journal = "Vision Research", + volume = "37", + pages = "3327--3338", + year = "1997", +} + + +@Article{Dokur1997, + author = {Z\:{u}mray Dokur, Tamer \:{O}lmez, Ertugrul Yazgan, Okan K. Ersoy}, + title = {Detection of {ECG} waveforms by neural networks}, + journal = {Medical engineering & physics}, + year = {1997}, + volume = {19}, + number = {8}, + pages = {738--741}, + month = {October}, +} + +@Article{Hu1993, + author = {Y. H. Hu and W. J. Tompkins and J. L. Urrusti and V. X. Afonso}, + title = {Applications of artificial neural networks for {ECG} signal detection and classification}, + journal = JEC, + year = {1993}, + volume = {26s}, + pages = {66--73}, +} + +@Article{Unser1996, +author = {M. Unser and A. Aldroubi}, +title = {A Review of Wavelets in Biomedical Applications}, +journal = {Proceedings of the {IEEE}}, +year = {1996}, +volume= {84}, +number= {4}, +pages = {626--638}, +month = {April}, +} + +@inproceedings{Povey+Woodland-2002, + author = {D. Povley and P.C. Woodland}, + title = {Minimum error and {I}-smoothing for improved discriminative training}, + booktile = {Proceedings of the International Conference on Acoustics, +Speech, and Signal Processing (ICASSP'2002)}, + publisher = {IEEE}, + volume = 1, + pages = {I-105--I-108}, + address = {Orlando, Florida, USA}, +} + +@incollection{Susskind2008, + author = {Joshua M. Susskind and Geoffrey E. and Javier R. Movellan and Adam K. Anderson}, + title = {Generating Facial Expressions with Deep Belief Nets}, + editor = {V. Kordic}, + booktitle = {Affective Computing, Emotion Modelling, Synthesis and Recognition}, + publisher = {ARS Publishers}, + year = 2008, + pages = {421--440}, +} + +@InCollection{Li2005, + author = {Peng Li and Kap Luk Chan and Sheng Fu and S.M. Krishnan}, + title = {An Abnormal {ECG} Beat Detection Approach for Long-Term Monitoring of Heart Patients Based on Hybrid Kernel Machine Ensemble}, + booktitle = {Multiple Classifier Systems}, + pages = {346-355}, + publisher = {Springer}, + year = {2005}, + volume = {3541/2005}, + series = {Lecture Notes in Computer Science}, + address = {Berlin / Heidelberg}, +} + +@incollection {Hughes_NIPS2003, + author = " Nicholas P. Hughes and Lionel Tarassenko and Stephen J. Roberts", + title = " Markov Models for Automated {ECG} Interval Analysis", + booktitle = NIPS16, + editor = NIPS16ed, + publisher = NIPS16publ, + address = NIPS16addr, + year = "2004", + keywords = "hidden Markov models, Markov models, wavelets, segmentation, probabilistic models, biomedical signal processing, time series", + } + +@inproceedings{Salem2009, + author = {Abdel-Badeeh M. Salem and Kenneth Revett and El-Sayed A. El-Dahshan}, + title = {Machine Learning in Electrocardiogram Diagnosis}, + booktitle = {Proceedings of the International Multiconference on Computer Science and Information Technology}, + volume = 4, + pages = {429--433}, + year = 2009, + publisher = {IEEE}, +} + +@book{Clifford2006, + author = {G.D. Clifford and F. Azuaje and P.E. McSharry}, + title = {Advanced Methods and Tools for {ECG} Analysis}, + publisher = {Artech House Publishing}, + year = 2006, +} + +@inproceedings{Lin2009, + author = {Lin, Jessica and Li, Yuan}, + title = {Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation}, + booktitle = {SSDBM 2009: Proceedings of the 21st International Conference on Scientific and Statistical Database Management}, + year = {2009}, + isbn = {978-3-642-02278-4}, + pages = {461--477}, + location = {New Orleans, LA, USA}, + doi = {http://dx.doi.org/10.1007/978-3-642-02279-1_33}, + publisher = {Springer-Verlag}, + address = {Berlin, Heidelberg}, + } + +@article{Froese2006, + author = {Froese, Tom and Hadjiloucas, Sillas and Galv\, +{a}o, Roberto K. H. and Becerra, Victor M. and Coelho, Clarimar Jos\'{e}}, + title = {Comparison of extrasystolic {ECG} signal classifiers using discrete wavelet transforms}, + journal = {Pattern Recogn. Lett.}, + volume = {27}, + number = {5}, + year = {2006}, + issn = {0167-8655}, + pages = {393--407}, + doi = {http://dx.doi.org/10.1016/j.patrec.2005.09.002}, + publisher = {Elsevier Science Inc.}, + address = {New York, NY, USA}, + } + +@Article{Crowe1992, + author = {J. A. Crowe and N. M. Gibson and M. S. Woolfson and M. G. Somekh}, + title = {Wavelet transform as a potential tool for {ECG} analysis and compression}, + journal = {Journal of Biomedical Engineering}, + year = {1992}, + volume = {14}, + number = {3}, + pages = {268--272}, + month = {May}, +} + +@ARTICLE{Hilton1997, + author = {Michael Hilton}, + title = {Wavelet and Wavelet Packet Compression of Electrocardiograms}, + journal = IEEE_trans_biomed, + year = {1997}, + volume = {44}, + pages = {394--402} +} + +@Article{Li1995, + author = {C. Li and C. Zheng and C. Tai}, + title = {Detection of {ECG} characteristic points using wavelet transforms}, + journal = IEEE_trans_biomed, + year = {1995}, + volume = {42}, + number = {1}, + pages = {21--28}, + month = {January}, +} + +@article{Polat2007, +title = {Detection of {ECG} Arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine}, +journal = {Applied Mathematics and Computation}, +volume = {186}, +number = {1}, +pages = {898--906}, +year = {2007}, +issn = {0096-3003}, +doi = {DOI: 10.1016/j.amc.2006.08.020}, +url = {http://www.sciencedirect.com/science/article/B6TY8-4KXDWBF-5/2/a9e1d7e2dfc4c88935386ea04ca9cb94}, +author = {Kemal Polat and Salih G\"{u}nes}, +keywords = {ECG Arrhythmia}, +keywords = {Principal component analysis (PCA)}, +keywords = {Least square support vector machine (LSSVM)}, +keywords = {ROC curves}, +} + +@article{Song2005, + author = {Mi Hye Song and Jeon Lee and Sung Pil Cho and Kyoung Joung Lee and Sun Kook Yoo}, + title = {Support Vector Machine Based Arrhythmia Classification +Using Reduced Features}, + journal = IJCAS, + year = {2005}, + volume = {3}, + number = {4}, + pages = {571--579}, + month = {December}, +} + +@article{Ubeyli2009, + author = {Elif Derya \"{U}beyli}, + title = {Combining recurrent neural networks with eigenvector methods for classification of {ECG} beats}, + journal = DSP, + volume = {19}, + number = {2}, + year = {2009}, + issn = {1051-2004}, + pages = {320--329}, + doi = {http://dx.doi.org/10.1016/j.dsp.2008.09.002}, + publisher = {Academic Press, Inc.}, + address = {Orlando, FL, USA}, + } + +@article{Ubeyli2007, + author = {Elif Derya \"{U}beyli}, + title = {{ECG} beats classification using multiclass support vector machines with error correcting output codes}, + journal = DSP, + year = {2007}, + volume = {17}, + pages = {675--684}, +} + +@Article{Soman2005, + author = {T. Soman and P. O. Bobbie}, + title = {Classification of Arrhythmia Using Machine Learning Techniques}, + journal = {WSEAS Transactions on Computers}, + year = {2005}, + volume = {4}, + number = {6}, + pages = {548--552}, + month = {June}, +} + +@InProceedings{Chengwei2006, + author = {Li Chengwei and Wang Shoubin and Xu Aijun and Peng Hui}, + title = {Clinical Diagnosis of Cardiac Disease Based on Support Vector Machine}, + booktitle = {World Congress on Medical Physics and Biomedical Engineering}, + pages = {1273--1276}, + year = {2006}, + editor = {R. Magjarevic and J. H. Nagel}, + volume = {14}, + series = {IFMBE Proceedings}, + publisher = {Springer Berlin Heidelberg}, +} + +@Article{Chiu2005, + author = {Chuang-Chien Chiu and Tong-Hong Lin and Ben-Yi Liau}, + title = {Using correlation coefficient in {ECG} waveform for arrhythmia detection}, + journal = BME, + year = {2005}, + volume = {17}, + number = {3}, + pages = {147--152}, + month = {June}, +} + +@Article{Silipo1998, + author = {Rosaria Silipo and Carlo Marchesi}, + title = {Artificial Neural Networks for Automatic {ECG} Analysis}, + journal = IEEE_trans_SP, + year = {1998}, + volume = {46}, + number = {5}, + pages = {1417--1425}, + month = {May}, +} + +@Article{Osowski2004, + author = {Stanislaw Osowski and Linh Tran Hoai and Tomasz Markiewicz}, + title = {Support Vector Machine-Based Expert System for +Reliable Heartbeat Recognition}, + journal = IEEE_trans_biomed, + year = {2004}, + volume = {51}, + number = {4}, + pages = {582--589}, + month = {April}, +} + +@article{PhysioNet, + author = PhysioNetAuthors, + title = "{PhysioBank, PhysioToolkit, and PhysioNet}: Components of a New + Research Resource for Complex Physiologic Signals", + journal = "Circulation", + year = PhysioNetYear, + volume = "101", + number = "23", + pages = "e215--e220", + note = PhysioNetNote, +} + +@article{Lin2007, + author = {Lin, Jessica and Keogh, Eamonn and Wei, Li and Lonardi, Stefano}, + citeulike-article-id = {2821475}, + citeulike-linkout-0 = {http://dblp.uni-trier.de/rec/bibtex/journals/datamine/LinKWL07}, + citeulike-linkout-1 = {http://dx.doi.org/10.1007/s10618-007-0064-z}, + citeulike-linkout-2 = {http://www.springerlink.com/content/g69808822l82t325}, + day = {18}, + doi = {10.1007/s10618-007-0064-z}, + journal = DMKD, + keywords = {simulation}, + month = {October}, + number = {2}, + pages = {107--144}, + posted-at = {2008-05-21 23:56:04}, + priority = {2}, + title = {Experiencing SAX: a novel symbolic representation of time series}, + url = {http://dx.doi.org/10.1007/s10618-007-0064-z}, + volume = {15}, + year = {2007} +} + +@inproceedings{Lin2010, + author = {Lin, Jessica and Li, Yuan}, + title = {Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation}, + booktitle = SSDBM2009, + year = {2009}, + isbn = {978-3-642-02278-4}, + pages = {461--477}, + location = {New Orleans, LA, USA}, + doi = {http://dx.doi.org/10.1007/978-3-642-02279-1_33}, + publisher = {Springer-Verlag}, + address = {Berlin, Heidelberg}, + } + +@Article{Ham1996, + author = {F. M. Ham and Soowhan Han}, + title = {Classification of cardiac arrhythmias using fuzzy ARTMAP}, + journal = IEEE_trans_biomed, + year = {1996}, + volume = {43}, + number = {4}, + pages = {425--429}, + month = {April}, +} +@article{Engin2004, + title = "ECG beat classification using neuro-fuzzy network", + journal = PRL, + volume = "25", + number = "15", + pages = "1715 - 1722", + year = "2004", + issn = "0167-8655", + doi = "DOI: 10.1016/j.patrec.2004.06.014", + url = "http://www.sciencedirect.com/science/article/B6V15-4D0Y5TH-2/2/b83f364f61d79f96abeb1bc1b1898ab9", + author = "Mehmet Engin", + keywords = "ECG beat classification", + keywords = "MIT/BIH database", + keywords = "Neuro-fuzzy networks", + keywords = "Higher-order statistics", + keywords = "Wavelet transform", + keywords = "AR modelling", + keywords = "Pattern recognition" +} + +@article{Turaga2010, + author = {S. C. Turaga and J. F. Murray and V. Jain and F. Roth and M. Helmstaedter and K. Briggman and W. Denk and H. S. Seung}, + title = {Convolutional networks can learn to generate affinity graphs for image segmentation}, + journal = {Neural Computation}, + volume = 22, + pages = {511--538}, + year = 2010, +} + +@article{Hahnloser-2003, + author = {Richard H.R. Hahnloser and H. Sebastian Seung and J.J. Slotine}, + title = {Permitted and forbidden sets in symmetric threshold-linear networks}, + journal = {Neural Computation}, + volume = 15, + pages = {621--638}, + year = 2003, +} + +@techreport{Jenatton-2009, + title={Structured Variable Selection with Sparsity-Inducing Norms}, + author={Jenatton, R. and Audibert, J.-Y. and Bach, F.}, + institution={arXiv:0904.3523}, + year={2009} +} + +@ARTICLE{Erhan2010, + author = {Erhan, Dumitru and Bengio, Yoshua and Courville, Aaron and Manzagol, Pierre-Antoine and Vincent, Pascal and Bengio, Samy}, + month = feb, + title = {Why Does Unsupervised Pre-training Help Deep Learning?}, + journal = jmlr, + volume = {11}, + year = {2010}, + pages = {625--660}, + abstract = {Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtained in several areas, mostly on vision and language datasets. The best results obtained on supervised learning tasks involve an unsupervised learning component, usually in an unsupervised pre-training phase. Even though these new algorithms have enabled training deep models, many questions remain as to the nature of this difficult learning problem. The main question investigated here is the following: why does unsupervised pre-training work and why does it work so well? Answering these questions is important if learning in deep architectures is to be further improved. We propose several explanatory hypotheses and test them through extensive simulations. We empirically show the influence of pre-training with respect to architecture depth, model capacity, and number of training examples. The experiments confirm and clarify the advantage of unsupervised pre-training. The results suggest that unsupervised pre-training guides the learning towards basins of attraction of minima that are better in terms of the underlying data distribution; the evidence from these results supports a regularization explanation for the effect of pre-training.} +} + +@ARTICLE{Bengio2009FTML, + author = {Bengio, Yoshua}, + title = {Learning deep architectures for {AI}}, + journal = FTML, + volume = {2}, + number = {1}, + year = {2009}, + pages = {1--127}, + note = Bengio2009FTML_note, + abstract = {Theoretical results suggest that in order to learn the kind of +complicated functions that can represent high-level abstractions (e.g. in +vision, language, and other AI-level tasks), one may need {\insist deep +architectures}. Deep architectures are composed of multiple levels of non-linear +operations, such as in neural nets with many hidden layers or in complicated +propositional formulae re-using many sub-formulae. Searching the +parameter space of deep architectures is a difficult task, but +learning algorithms such as those for Deep Belief Networks have recently been proposed +to tackle this problem with notable success, beating the state-of-the-art +in certain areas. This paper discusses the motivations and principles regarding +learning algorithms for deep architectures, in particular those exploiting as +building blocks unsupervised learning of single-layer models such as Restricted {Boltzmann} Machines, +used to construct deeper models such as Deep Belief Networks.} +} + +@ARTICLE{Bengio1994ITNN, + author = {Bengio, Yoshua and Simard, Patrice and Frasconi, Paolo}, + title = {Learning Long-Term Dependencies with Gradient Descent is Difficult}, + journal = IEEE_trans_NN, + volume = {5}, + number = {2}, + year = {1994}, + pages = {157--166}, + abstract = {Recurrent neural networks can be used to map input sequences to output sequences, such as for recognition, production or prediction problems. However, practical difficulties have been reported in training recurrent neural networks to perform tasks in which the temporal contingencies present in the input/output sequences span long intervals. We show why gradient based learning algorithms face an increasingly difficult problem as the duration of the dependencies to be captures increases. These results expose a trade-off between efficient learning by gradient descent and latching on information for long periods. Based on an understanding of this problem, alternatives to standard gradient descent are considered.}, +optnote={(Special Issue on Recurrent Neural Networks)},topics={LongTerm},cat={J}, +} + +@article{Kohler1992, + abstract = {The QRS complex is the most striking waveform within the electrocardiogram (ECG). Since it reflects the electrical activity within the heart during the ventricular contraction, the time of its occurrence as well as its shape provide much information about the current state of the heart. Due to its characteristic shape it serves as the basis for the automated determination of the heart rate, as an entry point for classification schemes of the cardiac cycle, and often it is also used in ECG data compression algorithms. In that sense, QRS detection provides the fundamentals for almost all automated ECG analysis algorithms. Software QRS detection has been a research topic for more than 30 years. The evolution of these algorithms clearly reflects the great advances in computer technology. Within the last decade many new approaches to QRS detection have been proposed; for example, algorithms from the field of artificial neural networks genetic algorithms wavelet transforms, filter banks as well as heuristic methods mostly based on nonlinear transforms. The authors provide an overview of these recent developments as well as of formerly proposed algorithms}, + author = {Kohler, B. U. and Hennig, C. and Orglmeister, R.}, + citeulike-article-id = {546409}, + citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=993193}, + journal = eng_med_bio, + keywords = {detector, ecg\_processing, qrs, qt\_interval, review\_article, rr\_interval}, + number = {1}, + pages = {42--57}, + posted-at = {2007-11-25 20:38:19}, + priority = {2}, + title = {The principles of software QRS detection}, + url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=993193}, + volume = {21}, + year = {2002} +} + +@article{Thomas2006, +author = {Julien Thomas and Cedric Rose and Francois Charpillet}, +title = {A Multi-HMM Approach to ECG Segmentation}, +journal = ICTAI06, +volume = {0}, +issn = {1082-3409}, +year = {2006}, +pages = {609-616}, +doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2006.17}, +publisher = {IEEE Computer Society}, +address = {Los Alamitos, CA, USA}, +} + +@inproceedings{Cortes+al-2000, + author = {Juan Carlos P\'{e}rez-Cortes and Rafael Llobet and Joaquim Arlandis}, + title = {Fast and Accurate Handwritten Character Recognition Using Approximate Nearest Neighbours Search on Large Databases}, + booktitle = {Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition}, + year = {2000}, + isbn = {3-540-67946-4}, + pages = {767--776}, + publisher = {Springer-Verlag}, + address = {London, UK}, + } + + +@Article{Oliveira+al-2002, + author = "Oliveira, L.S. and Sabourin, R. and Bortolozzi, F. and Suen, C.Y.", + title = "Automatic recognition of handwritten numerical strings: a recognition and verification strategy", + journal = "IEEE Transactions on Pattern Analysis and Machine + Intelligence", + volume = "24", + number = "11", + pages = "1438-1454", + month = nov, + year = "2002", + doi = "10.1109/TPAMI.2002.1046154", + issn = "0162-8828", +} + +@inproceedings{SimardSP03, + author = {Patrice Simard and + David Steinkraus and + John C. Platt}, + title = {Best Practices for Convolutional Neural Networks Applied + to Visual Document Analysis}, + booktitle = {ICDAR}, + year = {2003}, + pages = {958-962}, + ee = {http://csdl.computer.org/comp/proceedings/icdar/2003/1960/02/196020958abs.htm}, + crossref = {DBLP:conf/icdar/2003}, + bibsource = {DBLP, http://dblp.uni-trier.de} +} + +@inproceedings{Milgram+al-2005, + author = {Milgram, J. and Cheriet, M. and Sabourin, R.}, + title = {Estimating accurate multi-class probabilities with support vector machines}, + booktitle = {Int. Joint Conf. on Neural Networks}, + year = {2005}, + pages = {906--1911}, + location = {Montreal, Canada}, + } + +@proceedings{DBLP:conf/icdar/2003, + title = {7th International Conference on Document Analysis and Recognition + (ICDAR 2003), 2-Volume Set, 3-6 August 2003, Edinburgh, + Scotland, UK}, + booktitle = {ICDAR}, + publisher = {IEEE Computer Society}, + year = {2003}, + isbn = {0-7695-1960-1}, + bibsource = {DBLP, http://dblp.uni-trier.de} +} + + +@article{Granger+al-2007, + author = {Eric Granger and Robert Sabourin and Luiz S. Oliveira and Catolica Parana}, + title = {Supervised Learning of Fuzzy ARTMAP Neural Networks Through Particle Swarm Optimization}, + journal = {Journal of Pattern Recognition Research}, + year = {2007}, + volume = "2", + number = "1", + pages = "27-60", +} + +@inproceedings{SnowEtAl2008, + author = {Snow, R. and O'Connor, B. and Jurafsky, D. and Ng, A.}, + booktitle = {Proc. Empirical Methods in NLP}, + pages = {254--263}, + title = {Cheap and Fast -- But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks}, + year = {2008} +} + +@TECHREPORT{Garris94+al-1994, + author = {Michael D. Garris and James L. Blue and Gerald T. Candela and Gerald T. C and Darrin L. Dimmick and Jon Geist and Patrick J. Grother and Stanley A. Janet and Charles L. Wilson}, + title = {NIST Form-Based Handprint Recognition System}, + institution = {Technical Report NISTIR 5469 and CD-ROM, National Institute of Standards and Technology}, + year = {1994}, + doi = {10.1.1.45.1560}, +} + +@inproceedings{SorokinAndForsyth2008, + author = {Sorokin, A. and Forsyth, D.}, + booktitle = {CVPR Workshops}, + pages = {1--8}, + title = {Utility data annotation with Amazon Mechanical Turk}, + year = {2008} +} + +@inproceedings{Grother-1995, + AUTHOR = "Grother, P.J.", + TITLE = "Handprinted Forms and Character Database, NIST Special Database 19", + BOOKTITLE = "National Institute of Standards and Technology (NIST) Intelligent Systems Division (NISTIR)", + YEAR = "1995", + BIBSOURCE = "http://www.visionbib.com/bibliography/char1015.html#TT105853"} +} + +@inproceedings{ whitehill09, + title = {Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise}, + author = {J. Whitehill and P. Ruvolo and T. Wu and J. Bergsma and J. Movellan}, + booktitle = {NIPS 22}, + pages = {2035--2043}, + year = 2009 +}
--- a/writeup/ml.bib Tue Jun 01 11:02:10 2010 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,25811 +0,0 @@ -%%WARNING: READ THE README FILE BEFORE ANY MODIFICATION!!! - - -%%submitted papers -%%% - -@Article{Bergstra+Bengio+Louradoj-2008sub, - author = "J. Bergstra and Y. Bengio and J. Louradour", - title = "Suitability of Complex Cell Models for Object Categorization", - journal = "Computational Neuroscience", - year = "2008", - note = "Rejected." -} -@Article{Bergstra+Bengio+Louradoj-2009sub, - author = "J. Bergstra and Y. Bengio and J. Louradour", - title = "Suitability of Complex Cell Models for Object Categorization", - journal = "Neural Computation", - year = "2009", - note = "Submitted." -} -@Article{Chapados+Bengio-2008sub, - author = "N. Chapados and Y. 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Dietterich and Volker - Tresp", - booktitle = "Advances in NIPS 13", - title = "A Neural Probabilistic Language Model", - publisher = "MIT Press", - pages = "932--938", - year = "2001", -} - -@InProceedings{BenDucVin01-short, - author = "Y. Bengio and R. Ducharme and P. Vincent", - booktitle = "Adv. Neural Inf. Proc. 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Bengio and Y. Bengio", - title = "Taking on the Curse of Dimensionality in Joint - Distributions Using Neural Networks", - journal = "IEEE Transactions on Neural Networks, special issue on - Data Mining and Knowledge Discovery", - volume = "11", - number = "3", - pages = "550--557", - year = "2000", - url = "http://www.iro.umontreal.ca/~lisa/pointeurs/jdm.pdf", -} - -@Article{Bengio+Bengio-trnn2000-small, - author = "S. Bengio and Y. Bengio", - title = "Taking on the Curse of Dimensionality in Joint - Distributions Using Neural Networks", - journal = "IEEE Trans. Neural Networks", - volume = "11", - number = "3", - pages = "550--557", - year = "2000", - url = "http://www.iro.umontreal.ca/~lisa/pointeurs/jdm.pdf", -} - -@Article{Bengio+Chapados2003, - author = "Yoshua Bengio and Nicolas Chapados", - title = "Extensions to Metric-Based Model Selection", - journal = jmlr, - volume = "3", - pages = "1209--1227", - month = mar, - year = "2003", - note = "Special Issue on Feature Selection", -} - -@TechReport{Bergstra-TR2008, - author = "James Bergstra and Yoshua Bengio and Jerome Louradour", - title = "Image Classification with Biologically Motivated Neuron Models", - number = "---", - institution = "Dept. IRO, Universit\'e de Montr\'eal", - year = "2008", -} - -@article{Bergstra-2009, - author = "James Bergstra and Yoshua Bengio and Jerome Louradour", - title = "Suitability of Complex Cell Models for Object Categorization", - journal = {Computational Neuroscience}, - publisher = "submitted", - year = 2008, -} - -@TechReport{Bengio+Frasconi94a, - author = "Y. Bengio and P. Frasconi", - title = "An {EM} Approach to Learning Sequential Behavior", - number = "Tech. Report. DSI 11/94", - institution = "Universit\`a di Firenze", - year = "1994", -} - -@article{Bengio-nc-2004, - author = {Yoshua Bengio and Olivier Delalleau and Nicolas Le Roux and Jean-François Paiement and Pascal Vincent and Marie Ouimet}, - title = {Learning eigenfunctions links spectral embedding and kernel {PCA}}, - journal = {Neural Computation}, - volume = 16, - number = 10, - year = 2004, - pages = {2197--2219}, -} - -@article{Bengio-nc-2004-small, - author = {Yoshua Bengio and Olivier Delalleau and Nicolas Le Roux and Jean-François Paiement and Pascal Vincent and Marie Ouimet}, - title = {{\small{Learning eigenfunctions links spectral embedding and kernel {PCA}}}}, - journal = {Neural Comp.}, - volume = {16(10)}, - year = 2004, - pages = {2197--2219}, -} - -@Article{Bengio+Grandvalet-JMLR-2004, - author = "Yoshua Bengio and Yves Grandvalet", - title = "No Unbiased Estimator of the Variance of {K}-Fold - Cross-Validation", - journal = jmlr, - volume = "5", - pages = "1089--1105", - year = "2004", -} - -@TechReport{Bengio+Grandvalet-TR-2003, - author = "Yoshua Bengio and Yves Grandvalet", - title = "No Unbiased Estimator of the Variance of {K}-Fold - Cross-Validation", - number = "TR-2003-1234", - institution = "Universite de Montreal, dept. IRO", - year = "2003", -} - -@InCollection{Bengio+Lecun-chapter2007, - author = "Yoshua Bengio and Yann {LeCun}", - editor = "L. Bottou and O. Chapelle and D. DeCoste and J. - Weston", - booktitle = "Large Scale Kernel Machines", - title = "Scaling Learning Algorithms towards {AI}", - publisher = "MIT Press", - year = "2007", -} - -@InCollection{Bengio+Lecun-chapter2007-small, - author = "Y. Bengio and Y. {LeCun}", - booktitle = "Large Scale Kernel Machines", - title = "Scaling Learning Algorithms towards {AI}", - year = "2007", -} - -@InProceedings{Bengio+LeCun94b, - author = "Yoshua Bengio and Yann {LeCun}", - booktitle = ICPR94, - title = "Word Normalization For On-Line Handwritten Word - Recognition", - pages = "409--413", - year = "1994", -} - -@Article{Bengio+Monperrus+Larochelle-2006, - author = "Yoshua Bengio and Martin Monperrus and Hugo - Larochelle", - title = "Nonlocal Estimation of Manifold Structure", - journal = "Neural Computation", - volume = "18", - number = "10", - pages = "2509--2528", - year = "2006", -} - -@InProceedings{Bengio+Monperrus-2005, - author = "Yoshua Bengio and Martin Monperrus", - editor = NIPS17ed, - booktitle = NIPS17, - title = "Non-Local Manifold Tangent Learning", - publisher = "{MIT} Press", - year = "2005", - pages = "129--136", - url = "http://www.iro.umontreal.ca/~lisa/pointeurs/tangent\_learner\_nips2004.pdf", -} - -@InProceedings{Bengio+Senecal-2003-small, - author = "Yoshua Bengio and Jean-S\'ebastien Sen\'ecal", - booktitle = "Proceedings of AISTATS 2003", - title = "Quick Training of Probabilistic Neural Nets by - Importance Sampling", - year = "2003", -} - -@TechReport{Bengio+Vincent+Paiement-TR2003, - author = "Yoshua Bengio and Pascal Vincent and Jean-Fran{\cc}ois - Paiement", - title = "Learning Eigenfunctions of Similarity: Linking - Spectral Clustering and Kernel {PCA}", - number = "1232", - institution = "D\'epartement d'informatique et recherche - op\'erationnelle, Universit\'e de Montr\'eal", - year = "2003", - URL = "www.iro.umontreal.ca/~lisa/pointeurs/TR1232.pdf", -} - -@TechReport{Bengio-decision-trees-TR-2007, - author = "Yoshua Bengio and Olivier Delalleau and Clarence - Simard", - title = "Trees do not Generalize to New Variations", - number = "", - institution = "D\'epartement d'informatique et recherche - op\'erationnelle, Universit\'e de Montr\'eal", - year = "2007", -} - -@TechReport{Bengio-decision-trees07, - author = "Yoshua Bengio and Olivier Delalleau and Clarence - Simard", - title = "Decision Trees do not Generalize to New Variations", - number = "1304", - institution = "Universite de Montreal, Dept. IRO", - year = "2007", - url = "http://www.iro.umontreal.ca/~lisa/pointeurs/bengio+al-tr1304.pdf", -} - -%I deprecate the following one as this is a duplicate of the preceding tech report! -%Their was only one .tex file that was using it. I modified it. -@TechReport{Bengio-Trees-TR2007, - author = "Yoshua Bengio and Olivier Delalleau and Clarence - Simard", - title = "Decision Trees do not Generalize to New Variations", - number = "1304", - institution = "Dept. IRO, Universit\'e de Montr\'eal", - year = "2007", - url = "http://www.iro.umontreal.ca/~lisa/pointeurs/bengio+al-tr1304.pdf", -} - -@Article{Bengio-hmms99, - author = "Yoshua Bengio", - title = "Markovian Models for Sequential Data", - journal = "Neural Computing Surveys", - volume = "2", - pages = "129--162", - year = "1999", -} - -@Article{bengio-hyper-NC00, - author = "Yoshua Bengio", - title = "Gradient-Based Optimization of Hyperparameters", - journal = "Neural Computation", - volume = "12", - number = "8", - pages = "1889--1900", - year = "2000", -} - -@TechReport{bengio-hyper-TR98, - author = "Yoshua Bengio", - title = "Continuous Optimization of Hyper-Parameters for - Non-{IID} Data", - institution = "D\'epartement d'informatique et recherche - op\'erationnelle, Universit\'e de Montr\'eal", - year = "1998", - note = "unpublished manuscript", -} - -@Article{Bengio-Hyper-Weight-Decay-nips, - author = "Simon Latendresse and Yoshua Bengio", - title = "Linear Regression and the Optimization of - Hyper-Parameters", - journal = "submitted to NIPS'99", - year = "1999", -} - -@TechReport{Bengio-Hyper-Weight-Decay-TR, - author = "Yoshua Bengio and Simon Latendresse", - title = "Soft Variable Selection with Numerical Optimization of - Weight Decays", - institution = "D\'epartement d'informatique et recherche - op\'erationnelle, Universit\'e de Montr\'eal", - year = "1999", - note = "in preparation", -} - -@Article{Bengio-ijns97, - author = "Yoshua Bengio", - title = "Using a Financial Training Criterion Rather than a - Prediction Criterion", - journal = "International Journal of Neural Systems", - year = "1997", - volume = {8}, - number = {4}, - note = "Special issue on noisy time-series", - pages = {433--443}, - URL = "www.iro.umontreal.ca/~lisa/pointeurs/profitcost.ps", -} - -@Article{Bengio-IEEETRNN-2001, - author = "Yoshua Bengio and Vincent-Philippe Lauzon and R\'ejean - Ducharme", - title = "Experiments on the Application of {IOHMM}s to Model - Financial Returns Series", - journal = ieeetrnn, - volume = 12, - number = 1, - pages = {113--123}, - year = "2001", -} - -@InProceedings{Bengio-Larochelle-NLMP-NIPS-2006, - author = "Yoshua Bengio and Hugo Larochelle and Pascal Vincent", - editor = NIPS18ed, - booktitle = NIPS18, - title = "Non-Local Manifold Parzen Windows", - publisher = "MIT Press", - pages = "115--122", - year = "2006", -} - -@TechReport{Bengio-Larochelle-NLMP-TR-2005, - author = "Yoshua Bengio and Hugo Larochelle", - title = "Non-Local Manifold Parzen Windows", - number = "1264", - institution = "D\'epartement d'informatique et recherche - op\'erationnelle, Universit\'e de Montr\'eal", - year = "2005", -} - -%have been rejected and later accepted to NIPS in Bengio-localfailure-NIPS-2006 -@InProceedings{Bengio-localfailure-icml-2005, - author = "Yoshua Bengio and Olivier Delalleau and Nicolas {Le - Roux}", - booktitle = "submitted to ICML 2005", - title = "The Curse of Dimensionality for Local Kernel - Machines", - year = "2005", -} - -@InCollection{Bengio-localfailure-NIPS-2006, - author = "Yoshua Bengio and Olivier Delalleau and Nicolas {Le Roux}", - editor = NIPS18ed, - booktitle = NIPS18, - title = "The Curse of Highly Variable Functions for Local - Kernel Machines", - publisher = "{MIT} Press", - address = "Cambridge, MA", - pages = "107--114", - year = "2006", -} - -@InCollection{Bengio-localfailure-NIPS-2006-small, - author = "Yoshua Bengio and Olivier Delalleau and Nicolas {Le Roux}", - booktitle = "NIPS 18", - title = "The Curse of Highly Variable Functions for Local - Kernel Machines", - publisher = "{MIT} Press", - address = "Cambridge, MA", - pages = "107--114", - year = "2006", -} - -@InProceedings{Bengio-localfailure-snowbird-2005, - author = "Yoshua Bengio and Olivier Delalleau and Nicolas {Le - Roux}", - booktitle = "The Learning Workshop", - title = "The Curse of Dimensionality for Local Kernel - Machines", - address = "Snowbird, Utah", - year = "2005", -} - -@InProceedings{HonglakLee-2007, - author = "Honglak Lee and Alexis Battle and Rajat Raina and Andrew Ng", - editor = NIPS19ed, - booktitle = NIPS19, - title = "Efficient sparse coding algorithms", - publisher = "MIT Press", - pages = "801--808", - year = "2007", -} - -@InProceedings{Bengio-nips-2006-small, - author = "Y. Bengio and P. Lamblin and D. Popovici and - H. Larochelle", - booktitle = "Advances in NIPS 19", - title = "Greedy Layer-Wise Training of Deep Networks", - year = "2007", -} - -@InProceedings{Bengio-nips-2006-short, - author = "Y. Bengio and P. Lamblin and D. Popovici and - H. Larochelle", - booktitle = "Adv. Neural Inf. Proc. Sys. 19", - title = "Greedy Layer-Wise Training of Deep Networks", - pages = "153--160", - year = "2007", -} - -@InProceedings{Bengio-nips2004, - author = "Yoshua Bengio and Jean-Fran\c{cois} Paiement and Pascal - Vincent and Olivier Delalleau and Nicolas {Le Roux} and - Marie Ouimet", - editor = NIPS16ed, - booktitle = NIPS16, - title = "Out-of-Sample Extensions for {LLE}, {Isomap}, {MDS}, - {Eigenmaps}, and {Spectral} {Clustering}", - publisher = "MIT Press", - year = "2004", -} - -@InProceedings{Bengio-nips2003, - author = "Yoshua Bengio and Jean-Fran\c{cois} Paiement and Pascal - Vincent and Olivier Delalleau and Nicolas {Le Roux} and - Marie Ouimet", - editor = NIPS16ed, - booktitle = NIPS16, - title = "Out-of-Sample Extensions for {LLE}, {Isomap}, {MDS}, - {Eigenmaps}, and {Spectral} {Clustering}", - publisher = "MIT Press", - year = "2004", -} - -@InCollection{Bengio-NIPS2007, - author = "Yoshua Bengio and Pascal Lamblin and Dan Popovici and - Hugo Larochelle", - editor = NIPS19ed, - booktitle = NIPS19, - title = "Greedy Layer-Wise Training of Deep Networks", - publisher = "MIT Press", - pages = "153--160", - year = "2007", -} - -@InProceedings{Bengio-nnlm2001, - author = "Yoshua Bengio and R{\'e}jean Ducharme and Pascal Vincent", - editor = NIPS13ed, - booktitle = NIPS13, - title = "A Neural Probabilistic Language Model", - publisher = "{MIT} Press", - pages = "933--938", - year = "2001", - url = "http://www.iro.umontreal.ca/~lisa/pointeurs/nips00-lm.ps", -} - -@Article{Bengio-nnlm2003, - author = "Yoshua Bengio and R{\'e}jean Ducharme and Pascal Vincent - and Christian Jauvin", - title = "A Neural Probabilistic Language Model", - journal = jmlr, - volume = "3", - pages = "1137--1155", - year = "2003", -} - -@Article{Bengio-nnlm2003-small, - author = "Y. Bengio and R. Ducharme and P. Vincent - and C. Jauvin", - title = "A Neural Probabilistic Language Model", - journal = "JMLR", - volume = "3", - pages = "1137--1155", - year = "2003", -} - -@Article{Bengio-NonStat-Hyper-ML, - author = "Yoshua Bengio and Charles Dugas", - title = "Learning Simple Non-Stationarities with - Hyper-Parameters", - journal = "submitted to Machine Learning", - year = "1999", -} - -@Article{Bengio-prel92, - author = "Y. Bengio and M. Gori and R. \mbox{De Mori}", - title = "Learning the Dynamic Nature of Speech with - Back-propagation for Sequences", - journal = prel, - volume = "13", - number = "5", - pages = "375--385", - year = "1992", - note = "(Special issue on Artificial Neural Networks)", -} - -@Article{Bengio-2008, - author = "Yoshua Bengio", - title = "Learning Deep Architectures for {AI}", - journal = {Foundations and Trends in Machine Learning}, - year = "2009", - volume = {to appear}, -} - -@Article{Bengio-2009-short, - author = "Y. Bengio", - title = "Learning Deep Architectures for {AI}", - journal = {Foundations \& Trends in Mach. Learn.}, - year = "2009", - volume = 2, - number = 1, - pages = {1--127}, -} - -@TechReport{Bengio-TR1312-small, - author = "Yoshua Bengio", - title = "Learning Deep Architectures for {AI}", - number = "1312", - institution = "U. Montr\'eal, dept. IRO", - year = "2007", -} - -@InProceedings{Bengio-transducers-98, - author = "Y. Bengio and S. Bengio and J. F. Isabelle and Y. - Singer", - editor = NIPS10ed, - booktitle = NIPS10, - title = "Shared Context Probabilistic Transducers", - publisher = "MIT Press", - pages = "409--415", - year = "1998", -} - -@Article{Bengio-trnn92, - author = "Y. Bengio and R. \mbox{De Mori} and G. Flammia and R. - Kompe", - title = "Global Optimization of a Neural Network-Hidden - {Markov} Model Hybrid", - journal = ieeetrnn, - volume = "3", - number = "2", - pages = "252--259", - year = "1992", -} - -@Article{Bengio-trnn93, - author = "Y. Bengio and P. Simard and P. Frasconi", - title = "Learning Long-Term Dependencies with Gradient Descent - is Difficult", - journal = ieeetrnn, - volume = "5", - number = "2", - pages = "157--166", - year = "1994", - OPTnote = "(Special Issue on Recurrent Neural Networks)", - url = "http://www.iro.umontreal.ca/~lisa/pointeurs/ieeetrnn94.pdf", -} - -@Article{Bengio-trnn96, - author = "Y. Bengio and P. Frasconi", - title = "Input/{Output} {HMM}s for Sequence Processing", - journal = "IEEE Transactions on Neural Networks", - volume = "7", - number = "5", - pages = "1231--1249", - year = "1996", -} - -@TechReport{Bengio2003, - author = "Christopher Kermorvant and Yoshua Bengio", - title = "Extracting Hidden Sense Probabilities from Bitexts", - number = "1231", - institution = "Université de Montréal", - year = "2003", -} - -@InProceedings{Bengio89b, - author = "Y. Bengio and P. Cosi and R. Cardin and R. De Mori", - editor = NIPS1ed, - booktitle = NIPS1, - title = "Use of multi-layered networks for coding speech with - phonetic features", - publisher = "Morgan Kaufmann, San Mateo", - address = "Denver, CO", - pages = "224--231", - year = "1989", -} - -@PhdThesis{Bengio91, - author = "Yoshua Bengio", - title = "Artificial Neural Networks and their Application to - Sequence Recognition", - school = "McGill University, (Computer Science)", - address = "Montreal, Qc., Canada", - year = "1991", -} - -@InProceedings{bengio91x, - author = "Y. Bengio and R. {De Mori} and G. 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Hinton", - editor = NIPS14ed, - booktitle = NIPS14, - title = "Global coordination of local linear models", - publisher = "MIT Press", - address = "Cambridge, MA", - year = "2002", -} - -% DEPRECATED, USE THE ONE BELOW -@Article{roweis00lle, - author = "Sam Roweis and Lawrence K. Saul", - title = "Nonlinear dimensionality reduction by locally linear - embedding", - journal = "Science", - volume = "290", - number = "5500", - pages = "2323--2326", - month = dec, - year = "2000", -} - -@Article{Roweis2000-lle, - author = "Sam Roweis and Lawrence K. Saul", - title = "Nonlinear dimensionality reduction by locally linear - embedding", - journal = "Science", - volume = "290", - number = "5500", - pages = "2323--2326", - month = dec, - year = "2000", -} - -@TechReport{roweis97unifying, - author = "Sam Roweis and Zoubin Ghahramani", - title = "A Unifying Review of Linear {G}aussian Models", - address = "6 King's College Road, Toronto M5S 3H5, Canada", - year = "1997", - URL = "citeseer.nj.nec.com/article/roweis97unifying.html", -} - -@InProceedings{roweis98em, - author = "Sam Roweis", - editor = NIPS10ed, - booktitle = NIPS10, - title = "{EM} Algorithms for {PCA} and {SPCA}", - volume = "10", - publisher = "{MIT} Press", - year = "1998", - URL = "citeseer.nj.nec.com/roweis98em.html", -} - -@InProceedings{RoweisNCA2005, - author = "Jacob Goldberger and Sam Roweis and Geoffrey E. 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Hinton", - booktitle = "Proceedings of the 2007 Workshop on Information - Retrieval and applications of Graphical Models (SIGIR - 2007)", - title = "Semantic Hashing", - year = "2007", - publisher = "Elsevier", - address = {Amsterdam}, -} - -@InProceedings{Salakhutdinov+Hinton2007-small, - author = "Ruslan Salakhutdinov and Geoffrey E. Hinton", - booktitle = "SIGIR", - title = "Semantic Hashing", - year = "2007", -} - -@InProceedings{SalakhutdinovR2007, - author = "Ruslan Salakhutdinov and Geoffrey E. Hinton", - booktitle = aistats07, - title = "Learning a Nonlinear Embedding by Preserving Class - Neighbourhood Structure", - publisher = "Omnipress", - date = "March 21-24, 2007", - address = "San Juan, Porto Rico", - year = "2007", -} - -@InProceedings{SalakhutdinovR2007-small, - author = "Ruslan Salakhutdinov and Geoffrey E. Hinton", - booktitle = aistats07-small, - title = "Learning a Nonlinear Embedding by Preserving Class - Neighbourhood Structure", - year = "2007", -} - -@InProceedings{SalakhutdinovR2007-short, - author = "R. Salakhutdinov and G.E. Hinton", - booktitle = {AI \& Stat.'2007}, - title = "Learning a Nonlinear Embedding by Preserving Class - Neighbourhood Structure", - year = "2007", -} - -@InProceedings{SalakhutdinovR2007b, - author = "Ruslan Salakhutdinov and Andriy Mnih and Geoffrey E. - Hinton", - booktitle = ICML07, - editor = ICML07ed, - publisher = ICML07publ, - title = "Restricted {Boltzmann} machines for collaborative - filtering", - address = "New York, NY, USA", - pages = "791--798", - year = "2007", - location = "Corvalis, Oregon", -} - -@InProceedings{SalakhutdinovR2007b-small, - author = "Ruslan Salakhutdinov and Andriy Mnih and Geoffrey E. 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Here we explore ideas from conjugate gradient - in the stochastic (online) setting, using fast - Hessian-gradient products to set up low-dimensional - Krylov subspaces within individual mini-batches. 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Hinton and Sam Roweis", - editor = NIPS19ed, - booktitle = NIPS19, - title = "Modeling Human Motion Using Binary Latent Variables", - publisher = "MIT Press", - address = "Cambridge, MA", - pages = "1345--1352", - year = "2007", -} - -@InProceedings{Taylor2006-small, - author = "Graham Taylor and Geoffrey E. Hinton and Sam Roweis", - booktitle = "NIPS 20", - title = "Modeling Human Motion Using Binary Latent Variables", - year = "2006", -} - -@InProceedings{TaylorHintonICML2009, - author = {Graham Taylor and Geoffrey Hinton}, - title = {Factored Conditional Restricted {Boltzmann} Machines for Modeling Motion Style}, - booktitle = {Proceedings of the 26th International Conference on Machine Learning (ICML'09)}, - pages = {1025--1032}, - year = 2009, - editor = {L\'{e}on Bottou and Michael Littman}, - address = {Montreal}, - month = {June}, - publisher = {Omnipress} -} - -@InProceedings{Taylor56, - author = "W. K. Taylor", - editor = "C. 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The most widely used algorithms for learning what to put in short-term memory, however, take too much time to be feasible or do not work well at all, especially when minimal time lags between inputs and corresponding teacher signals are long. Although theoretically fascinating, they do not provide clear practical advantages over, say, backprop in feedforward networks with limited time windows (see crossreference Chapters 11 and 12). With conventional \&\#034;algorithms based on the computation of the complete gradient\&\#034;, such as \&\#034;Back-Propagation Through Time\&\#034; (BPTT, e.g., [22, 27, 26]) or \&\#034;Real-Time Recurrent Learning\&\#034; (RTRL, e.g., [21]) error signals \&\#034;flowing backwards in time\&\#034; tend to either (1) blow up or (2) vanish: the temporal evolution of the backpropagated error ex}, - author = {Hochreiter, Sepp and Informatik, Fakultat F. and Bengio, Yoshua and Frasconi, Paolo and Schmidhuber, Jurgen}, - citeulike-article-id = {4450697}, - citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.7321}, - keywords = {gradient-descent, long-term-dependencies, rnn}, - posted-at = {2009-05-02 00:58:01}, - priority = {2}, - title = {Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies}, - url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.7321}, - booktitle = "Field Guide to Dynamical Recurrent Networks", - editor = "J. 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The best results obtained on supervised learning tasks involve an unsupervised learning component, usually in an unsupervised pre-training phase. Even though these new algorithms have enabled training deep models, many questions remain as to the nature of this difficult learning problem. The main question investigated here is the following: why does unsupervised pre-training work and why does it work so well? Answering these questions is important if learning in deep architectures is to be further improved. We propose several explanatory hypotheses and test them through extensive simulations. We empirically show the influence of pre-training with respect to architecture depth, model capacity, and number of training examples. The experiments confirm and clarify the advantage of unsupervised pre-training. 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Due to its characteristic shape it serves as the basis for the automated determination of the heart rate, as an entry point for classification schemes of the cardiac cycle, and often it is also used in ECG data compression algorithms. In that sense, QRS detection provides the fundamentals for almost all automated ECG analysis algorithms. Software QRS detection has been a research topic for more than 30 years. The evolution of these algorithms clearly reflects the great advances in computer technology. Within the last decade many new approaches to QRS detection have been proposed; for example, algorithms from the field of artificial neural networks genetic algorithms wavelet transforms, filter banks as well as heuristic methods mostly based on nonlinear transforms. The authors provide an overview of these recent developments as well as of formerly proposed algorithms}, - author = {Kohler, B. U. and Hennig, C. and Orglmeister, R.}, - citeulike-article-id = {546409}, - citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=993193}, - journal = eng_med_bio, - keywords = {detector, ecg\_processing, qrs, qt\_interval, review\_article, rr\_interval}, - number = {1}, - pages = {42--57}, - posted-at = {2007-11-25 20:38:19}, - priority = {2}, - title = {The principles of software QRS detection}, - url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=993193}, - volume = {21}, - year = {2002} -} - -@article{Thomas2006, -author = {Julien Thomas and Cedric Rose and Francois Charpillet}, -title = {A Multi-HMM Approach to ECG Segmentation}, -journal = ICTAI06, -volume = {0}, -issn = {1082-3409}, -year = {2006}, -pages = {609-616}, -doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2006.17}, -publisher = {IEEE Computer Society}, -address = {Los Alamitos, CA, USA}, -} - -@inproceedings{Cortes+al-2000, - author = {Juan Carlos P\'{e}rez-Cortes and Rafael Llobet and Joaquim Arlandis}, - title = {Fast and Accurate Handwritten Character Recognition Using Approximate Nearest Neighbours Search on Large Databases}, - booktitle = {Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition}, - year = {2000}, - isbn = {3-540-67946-4}, - pages = {767--776}, - publisher = {Springer-Verlag}, - address = {London, UK}, - } - - -@Article{Oliveira+al-2002, - author = "Oliveira, L.S. and Sabourin, R. and Bortolozzi, F. and Suen, C.Y.", - title = "Automatic recognition of handwritten numerical strings: a recognition and verification strategy", - journal = "IEEE Transactions on Pattern Analysis and Machine - Intelligence", - volume = "24", - number = "11", - pages = "1438-1454", - month = nov, - year = "2002", - doi = "10.1109/TPAMI.2002.1046154", - issn = "0162-8828", -} - -@inproceedings{SimardSP03, - author = {Patrice Simard and - David Steinkraus and - John C. Platt}, - title = {Best Practices for Convolutional Neural Networks Applied - to Visual Document Analysis}, - booktitle = {ICDAR}, - year = {2003}, - pages = {958-962}, - ee = {http://csdl.computer.org/comp/proceedings/icdar/2003/1960/02/196020958abs.htm}, - crossref = {DBLP:conf/icdar/2003}, - bibsource = {DBLP, http://dblp.uni-trier.de} -} - -@inproceedings{Milgram+al-2005, - author = {Milgram, J. and Cheriet, M. and Sabourin, R.}, - title = {Estimating accurate multi-class probabilities with support vector machines}, - booktitle = {Int. 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--- a/writeup/nips2010_submission.tex Tue Jun 01 11:02:10 2010 -0400 +++ b/writeup/nips2010_submission.tex Tue Jun 01 11:07:25 2010 -0400 @@ -85,10 +85,10 @@ that are unlabeled and/or come from a distribution different from the target distribution, e.g., from other classes that those of interest. Whereas it has already been shown that deep learners can clearly take advantage of -unsupervised learning and unlabeled examples~\citep{Bengio-2009,WestonJ2008} +unsupervised learning and unlabeled examples~\citep{Bengio-2009,WestonJ2008-small} and multi-task learning, not much has been done yet to explore the impact of {\em out-of-distribution} examples and of the multi-task setting -(but see~\citep{CollobertR2008-short}). In particular the {\em relative +(but see~\citep{CollobertR2008}). In particular the {\em relative advantage} of deep learning for this settings has not been evaluated. In this paper we ask the following questions: @@ -172,7 +172,7 @@ \times complexity]$ and $c$ and $f$ $\sim U[-4 \times complexity, 4 \times complexity]$.\\ {\bf Local Elastic Deformations.} -This filter induces a "wiggly" effect in the image, following~\citet{SimardSP03}, +This filter induces a "wiggly" effect in the image, following~\citet{SimardSP03-short}, which provides more details. Two "displacements" fields are generated and applied, for horizontal and vertical displacements of pixels. @@ -609,9 +609,9 @@ A Flash demo of the recognizer (where both the MLP and the SDA can be compared) can be executed on-line at {\tt http://deep.host22.com}. - -{\small -\bibliography{strings,ml,aigaion,specials} +%\newpage +{ +\bibliography{strings,strings-short,strings-shorter,ift6266_ml,aigaion-shorter,specials} %\bibliographystyle{plainnat} \bibliographystyle{unsrtnat} %\bibliographystyle{apalike}