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Posted to dev@mahout.apache.org by "Olivier Grisel (JIRA)" <ji...@apache.org> on 2010/01/15 19:44:54 UTC
[jira] Commented: (MAHOUT-214) Implement Stacked RBM
[ https://issues.apache.org/jira/browse/MAHOUT-214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12800826#action_12800826 ]
Olivier Grisel commented on MAHOUT-214:
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Stacked Autoencoders can achieve the same kind of semantic hashing purpose. Maybe with less computation:
http://velblod.videolectures.net/2008/pascal2/.../icml08_szummer_sslcdr_01.pdf (slides)
http://www.cs.nyu.edu/~ranzato/publications/ranzato-icml08.pdf (paper)
However I don't see any trivial way to make them trainable as efficiently distributed MapReduce jobs. Still worth trying.
> Implement Stacked RBM
> ----------------------
>
> Key: MAHOUT-214
> URL: https://issues.apache.org/jira/browse/MAHOUT-214
> Project: Mahout
> Issue Type: New Feature
> Components: Clustering
> Affects Versions: 0.2
> Reporter: Prasen Mukherjee
> Priority: Minor
> Fix For: 0.3
>
>
> Implement Stacked RBM based models for generic data. Suggested paper is : http://www.cs.toronto.edu/~rsalakhu/papers/semantic_final.pdf For a more indepth understanding of Stacked RBMs refer to : http://www.cs.toronto.edu/~hinton/papers.html
> http://jarbm.sourceforge.net/ could be a good starting point.
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