An introduction to kernel-based learning algorithms

An introduction to kernel-based learning algorithms (2001)

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by Klaus-Robert Müller , Sebastian Mika , Gunnar Rätsch , Koji Tsuda , Bernhard Schölkopf

Venue:	IEEE TRANSACTIONS ON NEURAL NETWORKS
Citations:	280 - 46 self

BibTeX

@ARTICLE{Müller01anintroduction,
    author = {Klaus-Robert Müller and Sebastian Mika and Gunnar Rätsch and Koji Tsuda and Bernhard Schölkopf},
    title = {An introduction to kernel-based learning algorithms},
    journal = {IEEE TRANSACTIONS ON NEURAL NETWORKS},
    year = {2001},
    volume = {12},
    number = {2},
    pages = {181--201}
}

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Abstract

This paper provides an introduction to support vector machines (SVMs), kernel Fisher discriminant analysis, and

Citations

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