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SGD 1.2
by leonbottou - September 24, 2008, 17:09:35 CET [
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1248 views (5 today), 282 downloads ( 1 today ), 1 comment, 1 subscription
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The SGD package contains a stochastic gradient implementation of linear SVMs and linear CRFs. It demonstrate that a simple stochastic gradient descent is very competitive algorithm for such tasks. For instance, the SVMSGD program digests the RCV1 database in slightly more than one second, and the CRFSGD code runs close to ten times faster then the CRF++ Limited Storage BFGS optimizer.
- BibTeX Entry:
- Download
- URL:
- Project Homepage
- Supported Operating Systems:
- Cygwin, Linux, Macosx, Windows
- Tags:
- Large Scale, Svm, Crf, Stochastic Gradient Descent
- Archive:
- download here
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Project details for SGD
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- Version:
- 1.2
- Submitter:
- leonbottou
- Author(s):
- leon bottou
- Posted:
- 14 November 2007
- Last Updated:
- 24 September 2008
- Open Source License:
- gpl version 2 or later, mpl 1.1
- Programming Language(s):
- c++
Version 1.2 fixes bug in the preprocessing program.