published: July 20, 2010, recorded: June 2010, views: 251
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The SHOGUN machine learning toolbox's focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It comes with a generic interface for kernel machines and features 15 different SVM implementations that all access features in a unified way via a general kernel framework or in case of linear SVMs so called "DotFeatures", i.e., features providing a minimalistic set of operations (like the dot product).
Download slides: icml2010_sonnenburg_shog_01.pdf (442.8 KB)
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