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Více informací o knize Probabilistic Theory of Pattern Recognition

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• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Probabilistic Theory of Pattern Recognition
• Autor: Luc Devroye, Laszlo Györfi, Gabor Lugosi
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 638
• EAN: 9780387946184
• ISBN: 0387946187
• ID: 01384098
• Nakladatelství: Springer-Verlag New York Inc.
• Hmotnost: 1122 g
• Rozměry: 166 × 243 × 39 mm
• Datum vydání: 01. June 1996

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