Location: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » Machine Learning Summer School (MLSS), Tübingen 2007

Introduction to kernel methods

author: Bernhard Schölkopf, Max Planck Institute
published: Aug. 20, 2007,   recorded: August 2007,   views: 50685
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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"

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Download slides icon Download slides: scholkopf_bernhard_intkmet_00.pdf (230.5 KB)

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Reviews and comments:

Comment1 Matt Gershoff, January 15, 2008 at 4:37 a.m.:

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.

Comment2 Siamak, February 28, 2008 at 1:53 a.m.:

It's annoying that such a good lecture has such a poor quality of recording. The camera doesn't follow. :(

Comment3 nsg, June 15, 2008 at 1:48 p.m.:

The recording is a bit bad and it really spoils the lecture!

Comment4 arjun jain, November 27, 2008 at 6:26 a.m.:

the last part where he talks abt the kernel trick is missing.. its a very very good lecture!

Comment5 aditi gupta, January 28, 2009 at 11:05 p.m.:

i never really understood kernel methods before. Thanks a ton for such a wonderful lecture! recording could have been better, but I still found it extremely useful. Highly recommended.
@ Videolectures team: Thanks! Keep up the good work! :)

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