A Probabilistic Theory of Pattern Recognition [[electronic resource] /] / by Luc Devroye, Laszlo Györfi, Gabor Lugosi
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Autore: |
Devroye Luc
|
| Titolo: |
A Probabilistic Theory of Pattern Recognition [[electronic resource] /] / by Luc Devroye, Laszlo Györfi, Gabor Lugosi
|
| Pubblicazione: | New York, NY : , : Springer New York : , : Imprint : Springer, , 1996 |
| Edizione: | 1st ed. 1996. |
| Descrizione fisica: | 1 online resource (XV, 638 p.) |
| Disciplina: | 519.2 |
| Soggetto topico: | Probabilities |
| Pattern recognition | |
| Probability Theory and Stochastic Processes | |
| Pattern Recognition | |
| Persona (resp. second.): | GyörfiLaszlo |
| LugosiGabor | |
| Note generali: | Bibliographic Level Mode of Issuance: Monograph |
| Nota di bibliografia: | Includes bibliographical references and indexes. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | A Probabilistic Theory of Pattern Recognition |
| ISBN: | 1-4612-0711-8 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910480303603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Stochastic Modelling and Applied Probability, . 0172-4568 ; ; 31