Author

Contributions

  • Györfi, László. - Contributor
  • Lugosi, Gábor. - Contributor

Publication

1996 - Springer, New York, New York (State)

Language

English

Word Count

159,000 words, Guess

Page Count

636 pages

Identifiers

and 5 more
  • LibraryThing771628
  • Library of Congress Control Number95044633
  • Better World Books9780387946184
  • Better World BooksP8-CUG-094
  • Open LibraryOL807924M

Classifications

  • DDC003/.52/015192
  • LCCQ327 .D5 1996
  • LCCQA273.A1-274.9

Description

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, free 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.

Subjects

Other Editions

  • A probabilistic theory of pattern recognitionSpringer1996-01-01

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