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Autore: |
Devroye Luc
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Titolo: |
A Probabilistic Theory of Pattern Recognition [[electronic resource] /] / by Luc Devroye, Laszlo Györfi, Gabor Lugosi
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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 |