✦ LIBER ✦

Statistical Learning Theory

✍ Scribed by Vladimir N. Vapnik

Book ID: 127424371
Publisher: Wiley
Year: 1998
Tongue: English
Weight: 5 MB
Series: Adaptive and learning systems for signal processing, communications, and control
Category: Library
City: New York
ISBN: 0585357056

No coin nor oath required. For personal study only.

✦ Synopsis

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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