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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) Hardback - 1996

by Devroye, Luc

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Springer, 1996-04-04. Corrected. hardcover. Used: Good. 6.49x1.60x9.55. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
  • Author Devroye, Luc
  • Binding Hardback
  • Edition Corrected
  • Condition Used: Good
  • Pages 636
  • Language ENG
  • Publisher Springer, U.S.A.
  • Publication date 1996-04-04
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # SONG0387946187
  • ISBN 9780387946184
  • Weight 0.16 lbs (0.07 kg)
  • Size 6.49x1.60x9.55
  • Quantity available 1

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Reader reviews for A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

From the publisher

Pattern recognition presents a significant challege for scientists and engineers, and many different approaches have been proposed. This book provides a self-contained account of probabilistic techniques that have been applied to the subject. Researchers and graduate students will benefit from this wide-ranging account of the field.

From the rear cover

Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, tree classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.
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