PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Primer on Kernel Methods
J.P. Vert, K. Tsuda and Bernhard Schölkopf
In: Kernel Methods in Computational Biology (2004) MIT Press , pp. 35-70.

Abstract

Kernel methods in general, and support vector machines (SVMs) in particular, are increasingly used to solve various problems in computational biology. They offer versatile tools to process, analyze, and compare many types of data, and offer state-of- the-art performance in many cases. This self-contained introduction to positive definite kernels and kernel methods aims at providing the very basic knowledge and intuition that the reader might find useful in order to fully grasp the technical content of this book.

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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:487
Deposited By:Bernhard Schölkopf
Deposited On:24 November 2004