Support Vector Machines Pattern by Abe Shigeo (34 results)

- Hardcover
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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.

- Hardcover
- First Edition
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Hardcover. Condition: Fine. No Jacket. 1st Edition. 2006.Hardcover.Fine.343 pages.Ships from Japan.Usually ships in 1-2 working days.

- Hardcover
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Condition: Used. pp. xiv + 343 1st Edition.

- Hardcover
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Condition: Used. pp. xiv + 343.

- Hardcover
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- Hardcover
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Language: English
Published by Springer, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Language: English
Published by Springer, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Language: English
Published by Springer, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Language: English
Published by Springer London Ltd, GB, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Hardback. Condition: New. 2nd ed. 2010.

Language: English
Published by Springer, 2012
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In.
More imagesLanguage: English
Published by Springer, 2012
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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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]hartman…n[at]springer[dot]com | Anbieter: preigu.

Language: English
Published by Springer, 2012
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. pp. 492 2nd Edition.

Language: English
Published by Springer, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. pp. 492 2nd Edition.

Language: English
Published by Springer, Springer, 2012
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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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 evaluatio…n 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.

Language: English
Published by Springer London, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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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 crite…ria 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.

Language: English
Published by Springer-Verlag New York Inc, 2012
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 2nd edition. 493 pages. 9.25x6.10x1.18 inches. In Stock.

Language: English
Published by Springer, 2012
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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£ 191.00
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Paperback. Condition: Like New. Like New. book.

Language: English
Published by Springer, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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£ 191.00
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Hardcover. Condition: Like New. Like New. book.

Language: English
Published by Springer, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 198.99
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Language: English
Published by Springer, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Language: English
Published by Springer London Ltd, GB, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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£ 166.44
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Hardback. Condition: New. 2nd ed. 2010. 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.

- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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£ 81.30
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Condition: Used. pp. xiv + 343 Illus. This item is printed on demand.

Language: English
Published by Springer, 2012
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Language: English
Published by Springer, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
- Print on Demand
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Language: English
Published by Springer London, 2012
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: 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 Machines…Includes application of.

Language: English
Published by SPRINGER NATURE Mrz 2010, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: 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. 473 pp. Englisch.

Language: English
Published by Springer London Mai 2012, 2012
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
Contact seller5-star sellerCondition: New
£ 141.56
£ 19.70 shippingShips from Germany to U.S.A.Quantity: 2 available
Taschenbuch. Condition: 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 w…ell 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.

Language: English
Published by Springer London, 2010
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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£ 121.07
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Condition: 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 Machines…Includes application of.

Language: English
Published by Springer, Springer Mai 2012, 2012
Series: Advances in Computer Vision and Pattern Recognition, Book 13 of 86. Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 492 pp.…Englisch.