Introduction to kernel methods
author:
Bernhard Schölkopf,
Max Planck Institute
Description
This lecture given by Mr. Bernhard Schölkop is combined with Mr. Smola and will encompass Part 2, Part 3, Part 4 of the complete lecture. Part 1 , 5, 6 of this lecture can be found here at Alex Smola's "Introduction to kernel methods"
You might be experiencing some problems with Your Video player.
| Slides | |
| 0:00 | Learning with Kernels |
| 0:48 | Roadmap |
| 2:07 | Learning and Similarity: some Informal Thoughts |
| 3:42 | Similarity of Inputs |
| 5:11 | An Example of a Kernel Algorithm |
| 8:16 | An Example of a Kernel Algorithm, ctd. pt 1 |
| 8:24 | An Example of a Kernel Algorithm (a) |
| 8:32 | An Example of a Kernel Algorithm, ctd. pt 1 (a) |
| 10:54 | An Example of a Kernel Algorithm (b) |
| 10:57 | An Example of a Kernel Algorithm, ctd. pt 2 |
| 11:12 | An Example of a Kernel Algorithm, ctd. pt 1 (b) |
| 11:21 | An Example of a Kernel Algorithm (c) |
| 11:49 | An Example of a Kernel Algorithm, ctd. pt 1 (c) |
| 11:58 | An Example of a Kernel Algorithm, ctd. pt 2 (c) |
| 14:42 | An Example of a Kernel Algorithm (d) |
| 14:47 | An Example of a Kernel Algorithm, ctd. pt 1 (d) |
| 15:06 | Statistical Learning Theory |
| 17:31 | Kernels and Feature Spaces |
| 18:49 | Example: All Degree 2 Monomials |
| 21:20 | General Product Feature Space |
| 21:39 | Example: All Degree 2 Monomials (a) |
| 21:45 | General Product Feature Space (a) |
| 22:16 | The Kernel Trick, N = d = 2 |
| 22:32 | Example: All Degree 2 Monomials (b) |
| 22:48 | The Kernel Trick, N = d = 2 (a) |
| 23:34 | Example: All Degree 2 Monomials (c) |
| 23:40 | The Kernel Trick, N = d = 2 (b) |
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.
Related content
Visitors who watched this lecture also watched...
  2 comments
|
||||
10 comments
|
||||
Watch videos: (click on thumbnail to launch)
Part 2
0:24:24
|
Part 3
1:26:29
|
Part 4
0:15:56
|
Download slides:
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Good information. A bit frustrating when the chalkboard is being used as the camera often fails to capture the full screen and much of visual aid for the discussion is lost. Overall very good and a great resource for folks no longer in school that want to keep up with what is going on.
It's annoying that such a good lecture has such a poor quality of recording. The camera doesn't follow. :(
The recording is a bit bad and it really spoils the lecture!