Input space versus feature space in kernel-based methods : Vapnik-Chervonekis (VC) learning theory and its applications

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Bibliographic Details
Published in:	IEEE transactions on neural networks Vol. 10; no. 5; pp. 1000 - 1017
Main Authors:	SCHÖLKOPF, B, MIKA, S, BURGES, C. J. C, KNIRSCH, P, MÜLLER, K.-R, RÄTSCH, G, SMOLA, A. J
Format:	Journal Article
Language:	English
Published:	New York, NY Institute of Electrical and Electronics Engineers 1999
Subjects:	Applied sciences Artificial intelligence Computer science; control theory; systems Connectionism. Neural networks Electric, optical and optoelectronic circuits Electronics Exact sciences and technology Neural networks Learning Neural network Image reconstruction Kernel method
Online Access:	Get full text
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ISSN:	1045-9227 1941-0093