A Probabilistic Theory of Pattern Recognition
108,00 €*
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Produktnummer:
9781461268772
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.
| Autor: | Devroye, Luc Lugosi, Gabor Györfi, Laszlo |
|---|---|
| EAN: | 9781461268772 |
| Sprache: | Englisch |
| Seitenzahl: | 660 |
| Produktart: | kartoniert, broschiert |
| Verlag: | Springer New York Springer US, New York, N.Y. |
| Veröffentlichungsdatum: | 22.11.2013 |
| Größe: | 36 × 155 × 235 |
| Gewicht: | 984 g |
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