Introduction to Kernel Methods

author: Bernhard Schölkopf, Max Planck Institute for Biological Cybernetics, Max Planck Institute
published: Feb. 25, 2007,   recorded: September 2004,   views: 3582
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Description

The course will cover the basics of Support Vector Machines and related kerne methods: 1. Kernels and Feature Spaces
2. Large Margin Classification
3. Basic Ideas of Learning Theory
4. Support Vector Machines
5. Examples of Other Kernel Algorithms

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Download slides icon Download slides: mlss04_scholkopf_ikm_01.pdf (2.9 MB)


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Reviews and comments:

Comment1 mlearnx, October 18, 2012 at 3:30 a.m.:

Thank you very much Dr. Bernhard Schölkopf, and to people who invented this videolectures.net source. In fact, there are people in remote areas of the world, who are studying machine learning individually without the help of any suprvisors and who has no other sources rather than a hardcopy book. It is indeed helpful. May God bless you all for every deeds of yours. Thank you!!!

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