Kernel Methods

author: Bernhard Schölkopf, Max Planck Institute for Biological Cybernetics, Max Planck Institute
published: Jan. 25, 2013,   recorded: April 2012,   views: 15176
Categories

Slides

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.
  Delicious Bibliography

 Watch videos:   (click on thumbnail to launch)

Watch Part 1
Part 1 38:09
!NOW PLAYING
Watch Part 2
Part 2 54:16
!NOW PLAYING
Watch Part 3
Part 3 46:42
!NOW PLAYING
Watch Part 4
Part 4 31:08
!NOW PLAYING
Watch Part 5
Part 5 45:17
!NOW PLAYING
Watch Part 6
Part 6 51:45
!NOW PLAYING

Description

The course will cover some basic ideas of learning theory, elements of the theory of reproducing kernel Hilbert spaces, and some machine learning algorithms that build upon this.

See Also:

Download slides icon Download slides: mlss2012_scholkopf_kernel.pdf (2.2 MB)


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 !

Write your own review or comment:

make sure you have javascript enabled or clear this field: