Statistical Learning Theory (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Vapnik, Vladimir N.

ISBN 10: 0471030031 / ISBN 13: 9780471030034

Verlag: Wiley-Interscience, 1998

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Inhaltsangabe:

A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.

Über die Autorin bzw. den Autor:

Vladimir Naumovich Vapnik is one of the main developers of the Vapnik-Chervonenkis theory of statistical learning, and the co-inventor of the support vector machine method, and support vector clustering algorithm.

Bibliografische Details

Titel: Statistical Learning Theory (Adaptive and ...
Verlag: Wiley-Interscience
Erscheinungsdatum: 1998
Einband: Hardcover
Zustand: Good