# HG changeset patch
# User Yoshua Bengio <bengioy@iro.umontreal.ca>
# Date 1275415521 14400
# Node ID 920a38715c90eb3e654258a046e2f6ec26e591fa
# Parent  66a905508e34fc01f1e249d33ea5a5c39e1f8230# Parent  d057941417ed1518741380d202ea55ba41bed1d3
merge

diff -r d057941417ed -r 920a38715c90 writeup/nips2010_submission.tex
--- a/writeup/nips2010_submission.tex	Tue Jun 01 11:04:09 2010 -0700
+++ b/writeup/nips2010_submission.tex	Tue Jun 01 14:05:21 2010 -0400
@@ -90,6 +90,10 @@
 of {\em out-of-distribution} examples and of the multi-task setting
 (but see~\citep{CollobertR2008}). In particular the {\em relative
 advantage} of deep learning for this settings has not been evaluated.
+The hypothesis explored here is that a deep hierarchy of features
+may be better able to provide sharing of statistical strength
+between different regions in input space or different tasks,
+as discussed in the conclusion.
 
 % TODO: why we care to evaluate this relative advantage