Theory and Applications of Kernel Space

Posted in Science on July 28, 2008


Theory and Applications of Kernel Space

Basics of kernel definitions and theory are first given. Then 3 algorithms are described with ane xplicit reference to the representer theorem:

  • Support vector Mahcines,
  • Support Vector Regression and
  • Kernel Principal Components Analysis.

The last course is devoted to examples of kernel design (Mahalanobis kernles and Fisher kernels)

Author: Florence D'Alché, Université Evry val D'Essonne Genopole

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