Support Vector Machines for Pattern Classification: Advances in Computer Vision and Pattern Recognition, Second Edition - Couverture souple

Abe, Shigeo

9781447125488: Support Vector Machines for Pattern Classification: Advances in Computer Vision and Pattern Recognition, Second Edition

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ISBN 10 : 1447125487 ISBN 13 : 9781447125488

Editeur : Springer, 2012

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Support Vector Machines are popular because of their high classification importance; this is the first book to focus the discussions on SVMs specifically to pattern classification.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

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This guide on the use of SVMs in pattern classification includes a rigorous performance comparison of classifiers and regressors. The book takes the unique approach of focusing on classification rather than covering the theoretical aspects of SVMs.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2012
Langue: anglais
ISBN 10: 1447125487
ISBN 13: 9781447125488
Reliure: Broch�
Nombre de pages: 492
Coordonn�es du fabricant: non disponible

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9781849960977: Support Vector Machines for Pattern Classification

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ISBN 10 : 1849960976 ISBN 13 : 9781849960977
Editeur : Springer London Ltd, 2010
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Support Vector Machines for Pattern Classification

Shigeo Abe

Edit� par Springer London, 2012

ISBN 10 : 1447125487 ISBN 13 : 9781447125488

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A comprehensive resource for the use of Support Vector Machines in Pattern ClassificationTakes the unique approach of focussing on classification rather than covering the theoretical aspects of Support Vector MachinesIncludes application of. N� de r�f. du vendeur 4184491

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Support Vector Machines for Pattern Classification

Shigeo Abe

Edit� par Springer London Mai 2012, 2012

ISBN 10 : 1447125487 ISBN 13 : 9781447125488

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 492 pp. Englisch. N� de r�f. du vendeur 9781447125488

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Support Vector Machines for Pattern Classification

Shigeo Abe

Edit� par Springer London, Springer London, 2012

ISBN 10 : 1447125487 ISBN 13 : 9781447125488

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9781447125488

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Support Vector Machines for Pattern Classification

Shigeo Abe

Edit� par Springer London, Springer London Mai 2012, 2012

ISBN 10 : 1447125487 ISBN 13 : 9781447125488

Neuf Taschenbuch

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 492 pp. Englisch. N� de r�f. du vendeur 9781447125488

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