Spatial Decompositions for Large Scale SVMs

1 Dec 2016Philipp ThomannIngrid BlaschzykMona MeisterIngo Steinwart

Although support vector machines (SVMs) are theoretically well understood, their underlying optimization problem becomes very expensive, if, for example, hundreds of thousands of samples and a non-linear kernel are considered. Several approaches have been proposed in the past to address this serious limitation... (read more)

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