Shogun

author: Sören Sonnenburg, Machine Learning and Intelligent Data Analysis Group, TU Berlin
published: July 20, 2010,   recorded: June 2010,   views: 280
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Description

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).

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Download slides icon Download slides: icml2010_sonnenburg_shog_01.pdf (442.8 KB)


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