Optimization for Kernel Methods

author: Sathiya Keerthi, Yahoo! Research
published: Feb. 25, 2007,   recorded: February 2006,   views: 6795

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Optimization methods play a crucial role in kernel methods such as Support Vector Machines and Kernel Logistic Regression. In a variety of scenarios, different optimization algorithms are better suited than others. The aims of the six lectures in this topic are: (1) to introduce a range of optimization problems that arise in the solution of classification problems by kernel methods; (2) to briefly review the relevant optimization algorithms; and (3) to point out in some detail as to which optimization methods are suited for these varied problems.

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Reviews and comments:

Comment1 Lecture Notes?, April 18, 2007 at 3:09 a.m.:

Could we get a link to the lecture notes in .ppt or pdf?
the charts are impossible to read off the video.


Mike B

Comment2 Ame, July 1, 2009 at 11:06 a.m.:

May I get a link to the lecture notes in .ppt or pdf?
Many thanks

Comment3 Arun Iyer, February 7, 2011 at 12:31 a.m.:

Here are the slides (PDF) from the MLSS 06 site -

Though, replicating the same on this page would be good.

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