A Probabilistic Theory of Pattern Recognition
155,00 €*
Sofort verfügbar, Lieferzeit: 1-3 Tage
Produktnummer:
9780387946184
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: | 9780387946184 |
| Sprache: | Englisch |
| Seitenzahl: | 660 |
| Produktart: | Gebunden |
| Verlag: | Springer New York Springer US |
| Veröffentlichungsdatum: | 04.04.1996 |
| Schlagworte: | Erkenntnis Muster - Gebrauchsmuster - Geschmacksmuster Pattern (EDV) |
| Größe: | 40 × 160 × 241 |
| Gewicht: | 1144 g |
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