PAC-Bayes Analysis of Classification
published: Dec. 14, 2007, recorded: October 2007, views: 9927
Report a problem or upload filesIf 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.
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.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !