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| （2位用户的36个中间修订版本未显示） |
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| − | '''Bayesian approaches:'''
| + | [[New member reading list]] |
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| − | 1. general Bayesian inference: doc and tool
| + | [[Advanced member reading list]] |
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| − | http://ksvanhorn.com/bayes/free-bayes-software.html
| + | [[Public Research Tools]] |
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| − | 2. The Variantional Bayesian toolkit:
| + | [[People you may want to follow]] |
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| − | http://www.gatsby.ucl.ac.uk/vbayes/vbsoftware.html
| + | [[Other teams]] |
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| − | The sampling based Bayesian approach can be obtained here:
| + | [[Journals you may submit to]] |
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| − | http://www.mrc-bsu.cam.ac.uk/bugs/
| + | [[Free libraries]] |
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| − | 3. Topic models from David Blei
| + | [[Data resources]] |
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| − | http://www.cs.princeton.edu/~blei/topicmodeling.html
| + | [[Seminars]] |
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| | + | [[Machine Learning Book]] |
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| − | 4. MCMC approaches also here
| + | [[AI Book]] |
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| − | http://www.mppmu.mpg.de/bat/
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| − | http://www.mpe.mpg.de/~aws/BayesForum_201204_KK.pdf
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| − | 5. Topic models Biography
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| − | http://www.cs.princeton.edu/~mimno/topics.html
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| − | 6. Gibbs LDA
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| − | http://gibbslda.sourceforge.net/
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| − | 7. Tools for DPMM
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| − | GitHub
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| − | https://github.com/jacobeisenstein/DPMM
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| − | Sickit
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| − | http://scikit-learn.org/0.11/index.html
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| − | Hains
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| − | http://code.google.com/p/haines/
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| − | Spase SVMs
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| − | http://www.enm.bris.ac.uk/staff/xkh/
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| − | '''NLP toolkits'''
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| − | 1. Stanford tools
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| − | http://nlp.stanford.edu/software/
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| − | '''SID toolits'''
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| − | 1. Alize from Avignon
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| − | http://mistral.univ-avignon.fr/download_en.html
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| − | 2. Idiap
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| − | https://github.com/bioidiap/xbob.spkrec
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| − | http://www.idiap.ch/~marcel/professional/Resources.html
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