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Probabilistic Theory of Pattern Recognition

Bag om Probabilistic Theory of Pattern Recognition

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780387946184
  • Indbinding:
  • Hardback
  • Sideantal:
  • 638
  • Udgivet:
  • 1. juni 1996
  • Udgave:
  • 1199621997
  • Størrelse:
  • 166x243x39 mm.
  • Vægt:
  • 1122 g.
  • 8-11 hverdage.
  • 6. december 2024

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Beskrivelse af Probabilistic Theory of Pattern Recognition

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.

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