| A Probabilistic Theory of Pattern Recognition Softcover Repri Edition Contributor(s): Devroye, Luc (Author), Györfi, Laszlo (Author), Lugosi, Gabor (Author) |
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ISBN: 146126877X ISBN-13: 9781461268772 Publisher: Springer OUR PRICE: $94.99 Product Type: Paperback - Other Formats Published: November 2013 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Computers | Computer Vision & Pattern Recognition |
| Dewey: 003.520 |
| Series: Stochastic Modelling and Applied Probability |
| Physical Information: 1.33" H x 6.14" W x 9.21" (2.01 lbs) 638 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |