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Viac informácií o knihe Probabilistic Theory of Pattern Recognition

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Anotácia 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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Celý názov: Probabilistic Theory of Pattern Recognition
• Autor: Luc Devroye, Laszlo Györfi, Gabor Lugosi
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 638
• EAN: 9780387946184
• ISBN: 0387946187
• ID: 01384098
• Nakladateľ: Springer-Verlag New York Inc.
• Hmotnosť: 1122 g
• Rozmery: 166 × 243 × 39 mm
• Dátum vydania: 01. June 1996

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