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About: A collection of python code to perform research in optimization. The aim is to provide reusable components that can be quickly applied to machine learning problems. Used in: - Ellipsoidal multiple instance learning - difference of convex functions algorithms for sparse classfication - Contextual bandits upper confidence bound algorithm (using GP) - learning output kernels, that is kernels between the labels of a classifier. Changes:
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Projects authored by gabriel krummernacher.
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- GSoC 2013
by Cheng Soon Ong on April 9, 2013
- Scientist vs Inventor
by Cheng Soon Ong on March 18, 2013
- Software Licensing
by Cheng Soon Ong on February 6, 2013
- Chemical compound and drug name recognition task.
by Martin Krallinger on January 2, 2013
- Paper "Ten Simple Rules for the Open Development of Scientific Software" by Prlic and Procter
by Mikio Braun on December 11, 2012
- Best Practices for Scientific Computing
by Cheng Soon Ong on November 28, 2012
- Predict Elections with Twitter
by Cheng Soon Ong on October 12, 2012
- John Hunter - the author of matplotlib - has died.
by Soeren Sonnenburg on August 30, 2012
- Machine Learning already matters
by Cheng Soon Ong on June 20, 2012
- Google Summer of Code 2012
by Cheng Soon Ong on April 24, 2012
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