Overview
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.The book, Statistical Learning Theory (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) [Bulk, Wholesale, Quantity] ISBN#9780471030034 in Hardcover by Vladimir N. Vapnik may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
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