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Introduction to kernel methods
Published on Aug 20, 200750761 Views
This lecture given by Mr. Bernhard Schölkop is combined with Mr. Smola and will encompass Part 2, Part 3, Part 4 of the complete lecture. Part 1 , 5, 6 of this lecture can be found here at [[mlss07_sm
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Chapter list
Learning with Kernels00:00
Roadmap00:48
Learning and Similarity: some Informal Thoughts02:07
Similarity of Inputs03:42
An Example of a Kernel Algorithm05:11
An Example of a Kernel Algorithm, ctd. pt 108:16
An Example of a Kernel Algorithm (a)08:24
An Example of a Kernel Algorithm, ctd. pt 1 (a)08:32
An Example of a Kernel Algorithm (b)10:54
An Example of a Kernel Algorithm, ctd. pt 210:57
An Example of a Kernel Algorithm, ctd. pt 1 (b)11:12
An Example of a Kernel Algorithm (c)11:21
An Example of a Kernel Algorithm, ctd. pt 1 (c)11:49
An Example of a Kernel Algorithm, ctd. pt 2 (c)11:58
An Example of a Kernel Algorithm (d)14:42
An Example of a Kernel Algorithm, ctd. pt 1 (d)14:47
Statistical Learning Theory15:06
Kernels and Feature Spaces17:31
Example: All Degree 2 Monomials18:49
General Product Feature Space21:20
Example: All Degree 2 Monomials (a)21:39
General Product Feature Space (a)21:45
The Kernel Trick, N = d = 222:16
Example: All Degree 2 Monomials (b)22:32
The Kernel Trick, N = d = 2 (a)22:48
Example: All Degree 2 Monomials (c)23:34
The Kernel Trick, N = d = 2 (b)23:40