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Vapnik V.N. Statistical Learning Theory
Wiley-Interscience, 1998. - 740 pages.

A comprehensive look at leaing and generalization theory. The statistical theory of leaing and generalization conces 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 leaing process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.
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