A Probabilistic Theory of Pattern Recognition
Language: English
Published by Springer, 2013
Series: Book 1 of 30 - Stochastic Modelling and Applied Probability
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 104.71
Quantity: 1 available
Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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.
Seller Inventory # 9781461268772
- Title
- A Probabilistic Theory of Pattern Recognition
- Author
- Laszlo Györfi
- Publisher
- Springer
- Publication year
- 2013
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 146126877X
- ISBN 13
- 9781461268772
- Item weight
- 984 grams
- Dimensions
- 235x155x36 mm
- Series
- Book 1 of 30: Stochastic Modelling and Applied Probability
"Synopsis" may belong to another edition of this title.
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