Chapter

Advanced Lectures on Machine Learning

Volume 2600 of the series Lecture Notes in Computer Science pp 41-64

Date:

A Short Introduction to Learning with Kernels

  • Bernhard SchölkopfAffiliated withMax Planck Institut für Biologische Kybernetik
  • , Alexander J. SmolaAffiliated withRSISE, The Australian National University

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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 v-trick, various kernels and an overview over applications of kernel methods.