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| （2位用户的34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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| − | Jacobei
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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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| − | 8. 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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2018年8月23日 (四) 13:50的最后版本
New member reading list
Advanced member reading list
Public Research Tools
People you may want to follow
Other teams
Journals you may submit to
Free libraries
Data resources
Seminars
Machine Learning Book
AI Book
