02942nam 22005895 450 991048030360332120200702044841.01-4612-0711-810.1007/978-1-4612-0711-5(CKB)3390000000040618(SSID)ssj0001067857(PQKBManifestationID)11600980(PQKBTitleCode)TC0001067857(PQKBWorkID)11093852(PQKB)10184058(DE-He213)978-1-4612-0711-5(MiAaPQ)EBC3074637(PPN)238006980(EXLCZ)99339000000004061820131120d1996 u| 0engurnn|008mamaatxtccrA Probabilistic Theory of Pattern Recognition[electronic resource] /by Luc Devroye, Laszlo Györfi, Gabor Lugosi1st ed. 1996.New York, NY :Springer New York :Imprint: Springer,1996.1 online resource (XV, 638 p.) Stochastic Modelling and Applied Probability,0172-4568 ;31Bibliographic Level Mode of Issuance: Monograph0-387-94618-7 1-4612-6877-X Includes bibliographical references and indexes.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.Stochastic Modelling and Applied Probability,0172-4568 ;31ProbabilitiesPattern recognitionProbability Theory and Stochastic Processeshttps://scigraph.springernature.com/ontologies/product-market-codes/M27004Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XProbabilities.Pattern recognition.Probability Theory and Stochastic Processes.Pattern Recognition.519.2Devroye Lucauthttp://id.loc.gov/vocabulary/relators/aut60985Györfi Laszloauthttp://id.loc.gov/vocabulary/relators/autLugosi Gaborauthttp://id.loc.gov/vocabulary/relators/autBOOK9910480303603321A Probabilistic Theory of Pattern Recognition1952509UNINA