PAC-Bayes Analysis of Classification

author: John Shawe-Taylor, University College London
published: Dec. 14, 2007,   recorded: October 2007,   views: 9930


Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


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.

See Also:

Download slides icon Download slides: aop07_shawe_taylor_pba_01.pdf (1.1┬áMB)

Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

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.

Write your own review or comment:

make sure you have javascript enabled or clear this field: