Theory and Applications of Kernel Space

author: Florence d'Alche-Buc, Université Evry Val d'Essonne
published: July 11, 2007,   recorded: July 2007,   views: 2233
Categories

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.
  Bibliography

 Watch videos:   (click on thumbnail to launch)

Watch Part 1
Part 1 1:33:04
!NOW PLAYING
Watch Part 2
Part 2 46:24
!NOW PLAYING
Watch Part 3
Part 3 18:26
!NOW PLAYING

Description

Basics of kernel definitions and theory are first given.
Then 3 algorithms are described with an explicit reference to the representer theorem:
Support vector Mahcines,
Support Vector Regression and
Kernel Principal Components Analysis.

The last course is devoted to examples of kernel design (Mahalanobis kernles and Fisher kernels)

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 lei, January 6, 2010 at 1:07 a.m.:

It is quite annoying to zoom from the slide frequently to the lecture.

Write your own review or comment:

make sure you have javascript enabled or clear this field: