Support Vector Machines Pattern by Abe Shigeo (37 results)

- Hardcover
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.ThriftBooks-Atlanta
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Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

- 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
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.BennettBooksLtd
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Hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

Language: English
Published by Springer, 2012
Series: Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Language: English
Published by Springer, 2010
Series: Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condition: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.

- Hardcover
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Language: English
Published by Springer, 2010
Series: Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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US$ 191.83
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Condition: New. In.

Language: English
Published by Springer, 2010
Series: Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: New.

Language: English
Published by Springer, 2010
Series: 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: 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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US$ 237.37
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Hardback. Condition: New. 2nd ed. 2010. 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.
More imagesLanguage: English
Published by Springer, 2012
Series: Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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US$ 166.62
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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: 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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US$ 234.58
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Condition: New. In.

Language: English
Published by Springer, 2012
Series: 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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US$ 241.07
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Condition: New. pp. 492 2nd Edition.

Language: English
Published by Springer, 2010
Series: 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: 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: 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: Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 274.37
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Paperback. Condition: Brand New. 2nd edition. 493 pages. 9.25x6.10x1.18 inches. In Stock.

Language: English
Published by Springer, 2010
Series: Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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US$ 276.93
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Condition: As New. Unread book in perfect condition.

Language: English
Published by Springer, 2010
Series: Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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US$ 265.81
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Hardcover. Condition: Like New. Like New. book.

Language: English
Published by Springer, 2010
Series: Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: As New. Unread book in perfect condition.

Language: English
Published by Springer London Ltd, GB, 2010
Series: 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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US$ 231.63
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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.

Language: English
Published by Springer, 2012
Series: Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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US$ 299.21
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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US$ 113.51
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Condition: Used. pp. xiv + 343 Illus. This item is printed on demand.

Language: English
Published by Springer, 2012
Series: 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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US$ 150.16
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Condition: new. Questo è un articolo print on demand.

Language: English
Published by Springer, 2010
Series: Book 13 of 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Condition: new. Questo è un articolo print on demand.

Language: English
Published by SPRINGER NATURE Mrz 2010, 2010
Series: 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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US$ 190.86
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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: 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
US$ 190.86
US$ 26.56 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.