MLOSS 2010

10 papers

A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom Dhaene, Karel Crombecq

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Continuous Time Bayesian Network Reasoning and Learning Engine Christian R. Shelton, Yu Fan, William Lam, Joon Lee, Jing Xu

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Error-Correcting Output Codes Library Sergio Escalera, Oriol Pujol, Petia Radeva

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FastInf: An Efficient Approximate Inference Library Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elidan

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Gaussian Processes for Machine Learning (GPML) Toolbox Carl Edward Rasmussen, Hannes Nickisch

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libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models Joris M. Mooij

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MOA: Massive Online Analysis Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer

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Model-Based Boosting 2.0 Torsten Hothorn, Peter Bühlmann, Thomas Kneib, Matthias Schmid, Benjamin Hofner

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SFO: A Toolbox for Submodular Function Optimization Andreas Krause

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The SHOGUN Machine Learning Toolbox Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio de Bona, Alexander Binder, Christian Gehl, Vojtěch Franc

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