Readings
Bayesian approaches:
1. general Bayesian inference: doc and tool
http://ksvanhorn.com/bayes/free-bayes-software.html
2. The Variantional Bayesian toolkit:
http://www.gatsby.ucl.ac.uk/vbayes/vbsoftware.html
The sampling based Bayesian approach can be obtained here:
http://www.mrc-bsu.cam.ac.uk/bugs/
3. Topic models from David Blei
http://www.cs.princeton.edu/~blei/topicmodeling.html
4. MCMC approaches also here
http://www.mpe.mpg.de/~aws/BayesForum_201204_KK.pdf
5. Topic models Biography
http://www.cs.princeton.edu/~mimno/topics.html
6. Gibbs LDA
http://gibbslda.sourceforge.net/
7. Tools for DPMM
Jacobei
https://github.com/jacobeisenstein/DPMM
Sickit
http://scikit-learn.org/0.11/index.html
Hains
http://code.google.com/p/haines/
8. Spase SVMs
http://www.enm.bris.ac.uk/staff/xkh/
NLP toolkits
1. Stanford tools
http://nlp.stanford.edu/software/
SID toolits
1. Alize from Avignon
http://mistral.univ-avignon.fr/download_en.html
2. Idiap
https://github.com/bioidiap/xbob.spkrec
http://www.idiap.ch/~marcel/professional/Resources.html
People you may want to follow
1. Dong Yu, MS
http://research.microsoft.com/en-us/people/dongyu/
2. Geoffrey E. Hinton, U. Toronto
http://www.cs.toronto.edu/~hinton/
3. Deng Li, MS
http://research.microsoft.com/en-us/people/deng/
4. Tara Sainath, IBM
