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B. Sch\"olkopf, A. Smola, K.-R. M\"uller, C. Burges, and V. Vapnik (1998)

Learning and feature extraction with support vector methods

In: Proc. of the Ninth Australian Conf. on Neural Networks, ed. by T. Downs and M. Frean and M. Gallagher, Brisbane, Australia, University of Queensland.

This paper explains the notion of feature spaces (reproducing kernel Hilbert spaces), and reviews the SV algorithm and Kernel PCA. You can also download the slides of the corresponding invited talk at ACNN'98.
by admin last modified 2007-01-31 11:07

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