Kernel methods and Support Vector Machines
published: March 11, 2008, recorded: March 2008, views: 80856
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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.
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