# Kernel methods and Support Vector Machines

The tutorial will introduce 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.

*Author: Alexander J. Smola, Australian National University - ANU*