Optimal Learning Rates for Localized SVMs

23 Jul 2015Mona EbertsIngo Steinwart

One of the limiting factors of using support vector machines (SVMs) in large scale applications are their super-linear computational requirements in terms of the number of training samples. To address this issue, several approaches that train SVMs on many small chunks of large data sets separately have been proposed in the literature... (read more)

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