ISBN is

978-0-471-03003-4 / 0471030031

Statistical Learning Theory (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

by Vapnik, Vladimir N.

Publisher:Wiley-Interscience

Edition:Hardcover

Language:English

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About the book:

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.

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