A new discriminative kernel from probabilistic models

Tsuda, Koji; Kawanabe, M; Raetsch, Gunnar; Sonnenburg, Soren; Mueller, Klaus-Robert

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A new discriminative kernel from probabilistic models

Date

2002

Authors

Tsuda, Koji

Kawanabe, M

Raetsch, Gunnar

Sonnenburg, Soren

Mueller, Klaus-Robert

Publisher

MIT Press

Abstract

Recently, Jaakkola and Haussler (1999) proposed a method for constructing kernel functions from probabilistic models. Their so-called Fisher kernel has been combined with discriminative classifiers such as support vector machines and applied successfully