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About: A mutual information library for C and Mex bindings for MATLAB. Aimed at feature selection, and provides simple methods to calculate mutual information, conditional mutual information, entropy, conditional entropy, Renyi entropy/mutual information, and weighted variants of Shannon entropies/mutual informations. Works with discrete distributions, and expects column vectors of features. Changes:Fixed a Windows compilation bug. MIToolbox v3 should now compile using Visual Studio.
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Projects that are tagged with renyi entropy.
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- MLOSS workshop at ICML 2015: Open Ecosystems
by Antti Honkela on March 30, 2015
- A third of the top 100 papers are about software
by Cheng Soon Ong on October 30, 2014
- Open Machine Learning Workshop
by Cheng Soon Ong on July 28, 2014
- Machine Learning Distro
by Cheng Soon Ong on July 22, 2014
- Google Summer of Code 2014
by Cheng Soon Ong on June 3, 2014
- Reproducibility is not simple
by Cheng Soon Ong on March 30, 2014
- Keynotes at ACML 2013
by Cheng Soon Ong on November 14, 2013
- What does the “OSS” in MLOSS mean?
by Mark Reid on September 1, 2013
- Code review for science
by Cheng Soon Ong on August 14, 2013
- GSoC 2013
by Cheng Soon Ong on April 9, 2013
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