Caltech CS/CNS/EE 253 Advanced Topics in Machine Learning

Caltech CS/CNS/EE 253 Advanced Topics in Machine Learning

Several GP codes:

• Gaussian Process Code repository
• http://www.gaussianprocess.org/#code
• Inference with Gaussian processes
• http://www.gaussianprocess.org/gpml/code/matlab/doc/
• Lehel Csato's online GP toolbox:
• http://www.kyb.tuebingen.mpg.de/bs/people/csatol/ogp/code/www/index.html
• Andreas Krause's submodular function optimization toolbox
• http://www.mathworks.com/matlabcentral/fileexchange/20504
• Kevin Murphy's Bayes net toolbox in Matlab
• Infer.net -- Microsoft Research UK's graphical model library
• http://research.microsoft.com/en-us/um/cambridge/projects/infernet/
• PNL -- Intel's Probabilistic Network Library
• http://sourceforge.net/projects/openpnl/
• OpenCV (open source library for computer vision)
• http://opencv.willowgarage.com/wiki/
• some code for image classification (using ""Bag-of-words" representation):
• http://vision.ucla.edu/~vedaldi/code/bag/bag.html
• Y.W. Teh. Nonparametric Bayesian Mixture Models - release 2.1.
• http://www.gatsby.ucl.ac.uk/~ywteh/research/software.html
• Kenichi Kurihara,. Variational Dirichlet Process Gaussian Mixture Model
• http://sato-www.cs.titech.ac.jp/kurihara/vdpmog.html