A Short Introduction to Learning with Kernels

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Schoelkopf, Bernhard
Smola, Alexander

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Springer

Abstract

We briefly describe the main ideas of statistical learning theory, support vector machines, and kernel feature spaces. This includes a derivation of the support vector optimization problem for classification and regression, the ν-trick, various kernels a

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Advanced Lectures on Machine Learning

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2037-12-31