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https://issues.apache.org/jira/browse/MAHOUT-214?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12800826#action_12800826
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Olivier Grisel edited comment on MAHOUT-214 at 1/15/10 6:45 PM:
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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_helsinki/szummer_sslcdr/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.
was (Author: ogrisel):
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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