PAC-Bayes Analysis of Classification

author: John Shawe-Taylor, University College London
published: Dec. 14, 2007,   recorded: October 2007,   views: 1283
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Description

The lecture will introduce the PAC Bayes approach to the statistical analysis of learning. After some historical introduction, the key theorems will be covered. We will then consider some applications including for Support Vector Machines and novelty detection. A discussion of the status of the prior in the approach will lead to an investigation of how learning the prior can be used in practical applications. Discussions of further extensions of the approach will conclude the presentation.

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Reviews and comments:

Comment1 macias, January 6, 2008 at 11:07 p.m.:

Where is version for download?


Comment2 raof, April 4, 2009 at 4:17 p.m.:

I am very happy that find some video lecture about support vector machine and appreciated for what you show.

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