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stat.ML2016★ 1 cited
Spatial Decompositions for Large Scale SVMs
Philipp Thomann, Ingrid Blaschzyk, Mona Meister +1
Although support vector machines (SVMs) are theoretically well understood, their underlying optimization problem becomes very expensive, if, for example, hundreds of thousands of s…
stat.ML2015★ 5 cited
Optimal Learning Rates for Localized SVMs
Mona Eberts, Ingo 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…