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Support Vector Machines Pattern by Abe Shigeo (40 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 5 out of 5 stars
First Edition
US$ 80.00
Convert currencyUS$ 12.00 shipping from Japan to U.S.A.Quantity: 1 available
Add to basketHardcover. 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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US$ 100.80
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Add to basketBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Condition: New. pp. xiv + 343 1st Edition.
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US$ 122.83
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Add to basketCondition: New. pp. xiv + 343.
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Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Condition: New.
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US$ 175.17
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Condition: New. SUPER FAST SHIPPING.
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US$ 96.67
Convert currencyUS$ 85.07 shipping from Czech Republic to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Fine. Leichte Risse. 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 (Paperback)
Published by Springer London Ltd, England, 2012
ISBN 10: 1447125487 ISBN 13: 9781447125488
Language: English
Paperback. Condition: new. Paperback. 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. A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. Covers sparse SVMs, learning using privileged information, semi-supervised learning, multiple classifier systems, and multiple kernel learning; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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US$ 178.97
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US$ 179.25
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Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 193.29
Convert currencyUS$ 16.15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Support Vector Machines for Pattern Classification (Hardcover)
Published by Springer London Ltd, England, 2010
ISBN 10: 1849960976 ISBN 13: 9781849960977
Language: English
Hardcover. Condition: new. Hardcover. 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. A guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. Covers sparse SVMs, learning using privileged information, semi-supervised learning, multiple classifier systems, and multiple kernel learning; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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US$ 205.02
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Add to basketCondition: As New. Unread book in perfect condition.
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Support Vector Machines for Pattern Classification
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 193.28
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Support Vector Machines for Pattern Classification
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 211.15
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Add to basketCondition: As New. Unread book in perfect condition.
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Condition: New. pp. 492 2nd Edition.
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Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 236.60
Convert currencyUS$ 16.15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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US$ 201.37
Convert currencyUS$ 75.50 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. 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
Published by Springer London, Springer London, 2012
ISBN 10: 1447125487 ISBN 13: 9781447125488
Language: English
US$ 201.37
Convert currencyUS$ 74.74 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. 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
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
US$ 269.11
Convert currencyUS$ 12.32 shipping from Ireland to U.S.A.Quantity: 15 available
Add to basketCondition: New. 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. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 493 pages, 114 black & white illustrations, 89 black & white tables, biography. BIC Classification: TJFM; UGD; UYQP; UYQV. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 684. . 2012. Softcover reprint of hardcover 2nd ed. 2010. Paperback. . . . .
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Support Vector Machines for Pattern Classification (Advances in Computer Vision and Pattern Recognition)
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
US$ 280.00
Convert currencyUS$ 12.32 shipping from Ireland to U.S.A.Quantity: 15 available
Add to basketCondition: New. 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. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 493 pages, 114 black & white illustrations, 89 black & white tables, biography. BIC Classification: TJFM; UYQP. Category: (P) Professional & Vocational. Dimension: 240 x 164 x 31. Weight in Grams: 848. . 2010. 2nd ed. 2010. Hardcover. . . . .
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Support Vector Machines for Pattern Classification
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1447125487 ISBN 13: 9781447125488
Language: English
US$ 273.35
Convert currencyUS$ 33.70 shipping 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.
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Condition: New. 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. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 493 pages, 114 black & white illustrations, 89 black & white tables, biography. BIC Classification: TJFM; UGD; UYQP; UYQV. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 684. . 2012. Softcover reprint of hardcover 2nd ed. 2010. Paperback. . . . . Books ship from the US and Ireland.
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Condition: New. 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. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 493 pages, 114 black & white illustrations, 89 black & white tables, biography. BIC Classification: TJFM; UYQP. Category: (P) Professional & Vocational. Dimension: 240 x 164 x 31. Weight in Grams: 848. . 2010. 2nd ed. 2010. Hardcover. . . . . Books ship from the US and Ireland.
