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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability, 31) - Softcover
Book 1 of 30: Stochastic Modelling and Applied Probability
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A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.
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A Probabilistic Theory of Pattern Recognition (eng)
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Probabilistic Theory of Pattern Recognition
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A Probabilistic Theory of Pattern Recognition
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A Probabilistic Theory of Pattern Recognition
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Springer, Springer Nov 2013, 2013
ISBN 10: 146126877X
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 660 pp. Englisch. Seller Inventory # 9781461268772
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A Probabilistic Theory of Pattern Recognition
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and ex. Seller Inventory # 4189514
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A Probabilistic Theory of Pattern Recognition
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A Probabilistic Theory of Pattern Recognition
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Taschenbuch. Condition: Neu. 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
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A Probabilistic Theory of Pattern Recognition
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A Probabilistic Theory of Pattern Recognition
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Springer, Humana Nov 2013, 2013
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Pattern recognition presents a significant challege for scientists and engineers, and many different approaches have been proposed. This book provides a self-contained account of probabilistic techniques that have been applied to the subject. Researchers and graduate students will benefit from this wide-ranging account of the field.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 660 pp. Englisch. Seller Inventory # 9781461268772
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