Kernel methods and Support Vector Machines

Posted in Science on July 28, 2008


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

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Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Kernel Methods