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Statistical Learning Theory on Hardback by Vladimir N. Vapnik
Statistical Learning Theory on Hardback by Vladimir N. Vapnik
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Statistical Learning Theory

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Description

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.

Author Biography:

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.
Release date Australia
October 12th, 1998
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
  • Undergraduate
Pages
768
Dimensions
163x241x36
ISBN-13
9780471030034
Product ID
2084309

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