event thumbnail image
Machine Learning Summer School 2006 - Canberra
Pascal

Learning with Kernels

author: Bernhard Schölkopf, Max Planck Institute for Biological Cybernetics

Description

The Course on Learning with Kernels covers * Elements of Statistical Learning Theory * Kernels and feature spaces * Support vector algorithms and other kernel methods * Applications

You might be experiencing some problems with Your Video player.
Slides
0:00 Learning with Kernels
5:55 Roadmap
6:12 Roadmap of Today
6:21 Learning and Similarity: some Informal Thoughts
7:58 Similarity of Inputs
10:31 An Example of a Kernel Algorithm
13:59 An Example of a Kernel Algorithm, ctd. [56]

Lecture rating

People found this lecture:
Worth seeing
because it is:
 Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

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.

 Watch videos:   (click on thumbnail to launch)

Watch Part 1
Part 1 0:18:42
Flash video Slide Synchronization Windows Media video

!NOW PLAYING
Watch Part 2
Part 2 0:37:57
Flash video Slide Synchronization Windows Media video
Watch Part 3
Part 3 0:43:26
Flash video Slide Synchronization Windows Media video
Watch Part 4
Part 4 0:50:33
Flash video Slide Synchronization Windows Media video
Watch Part 5
Part 5 0:46:07
Flash video Slide Synchronization Windows Media video
Watch Part 6
Part 6 0:58:32
Flash video Slide Synchronization Windows Media video

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 Gershon, April 9, 2008 at 6:05 p.m.:

a lot of the slides are missing in the first lecture.


Write your own review or comment: