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shogun

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Description: A generic SVN object interface with many implementations including OCAS, Liblinear, LibSVM, SVMLight, SVMLin, and GPDT. Each SVN provides implementations of the most common kernals such as Linear, Ploynomial, Gaussian, and Sigmond Kernel. Implemented in C++ and interfaces to Matlab, R, Octave and Python. [GPL]
The SHOGUN Machine Learning Toolbox SHOGUN machine learning workshop 2013 slides and videos are now A large scale machine learning toolbox. SHOGUN is designed for unified large-scale learning for a broad range of feature types and learning settings, like classification, regression, or explorative data analysis.
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Page title:The SHOGUN Machine Learning Toolbox
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Creation Date: 2007-01-23T04:54:52Z
Expiry Date: 2015-01-23T04:54:52Z