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PASCAL Bootcamp in Machine Learning

Theory and Applications of Kernel Space

author:Florence d'Alché, Université Evry Val d'Essonne
published: July 11, 2007, recorded: July 2007, views: 1221

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Top » Computer Science » Machine Learning » Kernel Methods » Support Vector Machines
Top » Computer Science » Machine Learning » Kernel Methods

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Description

Basics of kernel definitions and theory are first given. Then 3 algorithms are described with an explicit reference to the representer theorem:: Support vector Mahcines,; Support Vector Regression and; Kernel Principal Components Analysis.

The last course is devoted to examples of kernel design (Mahalanobis kernles and Fisher kernels)

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1 lei, January 6, 2010 at 1:07 a.m.:

It is quite annoying to zoom from the slide frequently to the lecture.

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