9780387946184
A Probabilistic Theory Of Pattern Recognition - Luc Devroye, László Györfi, Gábor Lugosi
Springer (1996)
In Collection
#5180

Read It:
Yes
Pattern perception, Probabilities, Probability

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.

Product Details
LoC Classification Q327 .D5 1996
Dewey 003.52015192
Format Hardcover
Cover Price 109,00 €
No. of Pages 668
Height x Width 240 x 165 mm