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Probabilistic Theory of Pattern Recognition.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Devroye, Luc
Otros Autores: Karatzas, I., Yor, M.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Springer New York, 1996.
Edición:N.
Temas:
Acceso en línea:Texto completo

MARC

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049 |a UAMI 
100 1 |a Devroye, Luc. 
245 1 0 |a Probabilistic Theory of Pattern Recognition. 
250 |a N. 
260 |a New York :  |b Springer New York,  |c 1996. 
300 |a 1 online resource (631 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Print version record. 
505 0 |a A Probabilistic Theory of Pattern Recognition; Editor's page; A Probabilistic Theory of Pattern Recognition; Copyright; Preface; Contents; 1 Introduction; 2 The Bayes Error; 3 Inequalities and Alternate Distance Measures; 4 Linear Discrimination; 5 Nearest Neighbor Rules; 6 Consistency; 7 Slow Rates of Convergence; 8 Error Estimation; 9 The Regular Histogram Rule; 10 Kernel Rules; 11 Consistency of the k-Nearest Neighbor Rule; 12 Vapnik -Chervonenkis Theory; 13 Combinatorial Aspects of Vapnik -Chervonenkis Theory; 14 Lower Bounds for Empirical Classifier Selection. 
505 8 |a 15 The Maximum Likelihood Principle16 Parametric Classification; 17 Generalized Linear Discrimination; 18 Complexity Regularization; 19 Condensed and Edited Nearest Neighbor Rules; 20 Tree Classifiers; 21 Data- Dependent Partitioning; 22 Splitting the Data; 23 The Resubstitution Estimate; 24 Deleted Estimates of the Error Probability; 25 Automatic Kernel Rules; 26 Automatic Nearest Neighbor Rules; 27 Hypercubes and Discrete Spaces; 28 Epsilon Entropy and Totally Bounded Sets; 29 Uniform Laws of Large Numbers; 30 Neural Networks; 31 Other Error Estimates; 32 Feature Extraction; Appendix. 
505 8 |a NotationReferences; Author Index; Subject Index. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Pattern perception. 
650 0 |a Probabilities. 
650 2 |a Probability 
650 6 |a Perception des structures. 
650 6 |a Probabilités. 
650 7 |a probability.  |2 aat 
650 7 |a Pattern perception  |2 fast 
650 7 |a Probabilities  |2 fast 
700 1 |a Karatzas, I. 
700 1 |a Yor, M. 
776 0 8 |i Print version:  |a Devroye, Luc.  |t Probabilistic Theory of Pattern Recognition.  |d New York : Springer New York, ©1996  |z 9781461268772 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3074637  |z Texto completo 
936 |a BATCHLOAD 
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938 |a YBP Library Services  |b YANK  |n 13338032 
994 |a 92  |b IZTAP