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Pattern Classification by Abe Shigeo (58 results)
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition)
Seller: Corner of a Foreign Field, Tokyo, TOKYO, Japan
Seller rating 3 out of 5 stars
First Edition
Hardcover. Condition: Fine. No Jacket. 1st Edition. 2006.Hardcover.Fine.343 pages.Ships from Japan.Usually ships in 1-2 working days.
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Condition: Used. pp. xiv + 343 1st Edition.
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Pattern Classification
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
US$ 111.46
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Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Condition: Used. pp. xiv + 343.
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Condition: New.
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Pattern Classification: Neuro-fuzzy Methods and Their Comparison
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 134.72
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Pattern Classification : Neuro-Fuzzy Methods and Their Comparison
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 134.71
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Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Condition: New. pp. 352.
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Condition: New. pp. 352.
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Taschenbuch. Condition: Neu. Pattern Classification | Neuro-fuzzy Methods and Their Comparison | Shigeo Abe | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2012 | Springer London | EAN 9781447110774 | Verantwortliche Person für die EU: Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.
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US$ 168.15
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Add to basketHardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition)
Book 13 of 86: Advances in Computer Vision and Pattern RecognitionSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 191.67
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Support Vector Machines for Pattern Classification
Book 13 of 86: Advances in Computer Vision and Pattern RecognitionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 191.66
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Pattern Classification : Neuro-fuzzy Methods and Their Comparison
Language: English
Published by Springer London, Springer London, 2012
ISBN 10: 1447110773 ISBN 13: 9781447110774
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural networks have a learning capability but analysis of a trained network is difficult. On the other hand, extraction of fuzzy rules is difficult but once they have been extracted, it is relatively easy to analyze the fuzzy system. This book solves the above problems by developing new learning paradigms and architectures for neural networks and fuzzy systems.The book consists of two parts: Pattern Classification and Function Approximation. In the first part, based on the synthesis principle of the neural-network classifier: A new learning paradigm is discussed and classification performance and training time of the new paradigm for several real-world data sets are compared with those of the widely-used back-propagation algorithm; Fuzzy classifiers of different architectures based on fuzzy rules can be defined with hyperbox, polyhedral, or ellipsoidal regions. The book discusses the unified approach for training these fuzzy classifiers; The performance of the newly-developed fuzzy classifiers and the conventional classifiers such as nearest-neighbor classifiers and support vector machines are evaluated using several real-world data sets and their advantages and disadvantages are clarified.In the second part: Function approximation is discussed extending the discussions in the first part; Performance of the function approximators is compared.This book is aimed primarily at researchers and practitioners in the field of artificial intelligence and neural networks.
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Pattern Classification : Neuro-fuzzy Methods and Their Comparison
Language: English
Published by Springer London, Springer London, 2000
ISBN 10: 1852333529 ISBN 13: 9781852333522
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural networks have a learning capability but analysis of a trained network is difficult. On the other hand, extraction of fuzzy rules is difficult but once they have been extracted, it is relatively easy to analyze the fuzzy system. This book solves the above problems by developing new learning paradigms and architectures for neural networks and fuzzy systems.The book consists of two parts: Pattern Classification and Function Approximation. In the first part, based on the synthesis principle of the neural-network classifier: A new learning paradigm is discussed and classification performance and training time of the new paradigm for several real-world data sets are compared with those of the widely-used back-propagation algorithm; Fuzzy classifiers of different architectures based on fuzzy rules can be defined with hyperbox, polyhedral, or ellipsoidal regions. The book discusses the unified approach for training these fuzzy classifiers; The performance of the newly-developed fuzzy classifiers and the conventional classifiers such as nearest-neighbor classifiers and support vector machines are evaluated using several real-world data sets and their advantages and disadvantages are clarified.In the second part: Function approximation is discussed extending the discussions in the first part; Performance of the function approximators is compared.This book is aimed primarily at researchers and practitioners in the field of artificial intelligence and neural networks.
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Pattern Classification : Neuro-Fuzzy Methods and Their Comparison
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 204.57
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US$ 193.37
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Add to basketPaperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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Support Vector Machines for Pattern Classification
Book 13 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London Ltd, GB, 2010
ISBN 10: 1849960976 ISBN 13: 9781849960977
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 240.34
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Add to basketHardback. Condition: New. 2nd ed. 2010.
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Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition)
Book 13 of 86: Advances in Computer Vision and Pattern RecognitionSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 234.39
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Add to basketCondition: New. In.
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Taschenbuch. Condition: Neu. Support Vector Machines for Pattern Classification | Shigeo Abe | Taschenbuch | Advances in Computer Vision and Pattern Recognition | xx | Englisch | 2012 | Springer | EAN 9781447125488 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: New. pp. 492 2nd Edition.
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Condition: New. pp. 492 2nd Edition.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. The book presents architectures for multiclass classification and function approximation problems, as well as evaluation criteria for classifiers and regressors. Features: Clarifies the characteristics of two-class SVMs; Discusses kernel methods for improving the generalization ability of neural networks and fuzzy systems; Contains ample illustrations and examples; Includes performance evaluation using publicly available data sets; Examines Mahalanobis kernels, empirical feature space, and the effect of model selection by cross-validation; Covers sparse SVMs, learning using privileged information, semi-supervised learning, multiple classifier systems, and multiple kernel learning; Explores incremental training based batch training and active-set training methods, and decomposition techniques for linear programming SVMs; Discusses variable selection for support vector regressors.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. The book presents architectures for multiclass classification and function approximation problems, as well as evaluation criteria for classifiers and regressors. Features: Clarifies the characteristics of two-class SVMs; Discusses kernel methods for improving the generalization ability of neural networks and fuzzy systems; Contains ample illustrations and examples; Includes performance evaluation using publicly available data sets; Examines Mahalanobis kernels, empirical feature space, and the effect of model selection by cross-validation; Covers sparse SVMs, learning using privileged information, semi-supervised learning, multiple classifier systems, and multiple kernel learning; Explores incremental training based batch training and active-set training methods, and decomposition techniques for linear programming SVMs; Discusses variable selection for support vector regressors.
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Support Vector Machines for Pattern Classification
Book 13 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1447125487 ISBN 13: 9781447125488
US$ 273.23
US$ 17.01 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 2nd edition. 493 pages. 9.25x6.10x1.18 inches. In Stock.
