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A Probabilistic Theory of Pattern Recognition: 31 (Stochastic Modelling and Applied Probability, 31) - Softcover
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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.
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
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Probabilistic Theory of Pattern Recognition
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A Probabilistic Theory of Pattern Recognition (Paperback)
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Springer-Verlag New York Inc., New York, NY, 2013
ISBN 10: 146126877X
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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781461268772
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
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Probabilistic Theory of Pattern Recognition
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
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A Probabilistic Theory of Pattern Recognition
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Springer New York Nov 2013, 2013
ISBN 10: 146126877X
ISBN 13: 9781461268772
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 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
Published by
Springer-Verlag New York Inc., 2013
ISBN 10: 146126877X
ISBN 13: 9781461268772
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1027. Seller Inventory # C9781461268772
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