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Published by Springer, 2005
ISBN 10: 1852339292ISBN 13: 9781852339296
Seller: HPB-Red, Dallas, TX, U.S.A.
Book
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!.
Published by Springer, 2005
ISBN 10: 1852339292ISBN 13: 9781852339296
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Book
Condition: New. Brand New Original US Edition.We Ship to PO BOX Address also. EXPEDITED shipping option also available for faster delivery.This item may ship from the US or other locations in India depending on your location and availability.
Published by Springer, 2005
ISBN 10: 1852339292ISBN 13: 9781852339296
Seller: SMASS Sellers, IRVING, TX, U.S.A.
Book
Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed. This item may ship from the US or our Overseas warehouse depending on your location and stock availability. We Ship to PO BOX Location also.
Published by Springer, 2005
ISBN 10: 1852339292ISBN 13: 9781852339296
Seller: Corner of a Foreign Field, Tokyo, TOKYO, Japan
Book First Edition
Hardcover. Condition: Fine. No Jacket. 1st Edition. 2006.Hardcover.Fine.343 pages.Ships from Japan.Usually ships in 1-2 working days.
Published by Springer, 2005
ISBN 10: 1852339292ISBN 13: 9781852339296
Seller: GF Books, Inc., Hawthorne, CA, U.S.A.
Book
Condition: Good. Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting.
Published by Springer, 2005
ISBN 10: 1852339292ISBN 13: 9781852339296
Seller: Books Puddle, New York, NY, U.S.A.
Book
Condition: New. pp. xiv + 343 1st Edition.
Published by Springer, 2005
ISBN 10: 1852339292ISBN 13: 9781852339296
Seller: Majestic Books, Hounslow, United Kingdom
Book Print on Demand
Condition: New. pp. xiv + 343 Illus. This item is printed on demand.
Published by Springer, 2012
ISBN 10: 1447125487ISBN 13: 9781447125488
Seller: booksXpress, Bayonne, NJ, U.S.A.
Book
Soft Cover. Condition: new.
Published by Springer, 2010
ISBN 10: 1849960976ISBN 13: 9781849960977
Seller: booksXpress, Bayonne, NJ, U.S.A.
Book
Hardcover. Condition: new.
Published by Springer, 2005
ISBN 10: 1852339292ISBN 13: 9781852339296
Seller: Mispah books, Redhill, SURRE, United Kingdom
Book
Hardcover. Condition: Like New. Like New. book.
Published by Springer, 2012
ISBN 10: 1447125487ISBN 13: 9781447125488
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by Springer, 2010
ISBN 10: 1849960976ISBN 13: 9781849960977
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Book
Condition: New.
Published by Springer, 2010
ISBN 10: 1849960976ISBN 13: 9781849960977
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer London Mai 2012, 2012
ISBN 10: 1447125487ISBN 13: 9781447125488
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
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 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.
Published by SPRINGER NATURE Mrz 2010, 2010
ISBN 10: 1849960976ISBN 13: 9781849960977
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book Print on Demand
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.
Published by Springer London, 2012
ISBN 10: 1447125487ISBN 13: 9781447125488
Seller: moluna, Greven, Germany
Book Print on Demand
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 MachinesIncludes application of.
Published by Springer London, 2010
ISBN 10: 1849960976ISBN 13: 9781849960977
Seller: moluna, Greven, Germany
Book Print on Demand
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 MachinesIncludes application of.
Published by Springer, 2010
ISBN 10: 1849960976ISBN 13: 9781849960977
Seller: Books Puddle, New York, NY, U.S.A.
Book
Condition: New. pp. 492 2nd Edition.
Published by Springer London, 2012
ISBN 10: 1447125487ISBN 13: 9781447125488
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
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.
Published by Springer Nature Singapore, 2010
ISBN 10: 1849960976ISBN 13: 9781849960977
Seller: AHA-BUCH GmbH, Einbeck, Germany
Book
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.
Published by Springer, 2012
ISBN 10: 1447125487ISBN 13: 9781447125488
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Book Print on Demand
Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Published by Springer, 2010
ISBN 10: 1849960976ISBN 13: 9781849960977
Seller: Majestic Books, Hounslow, United Kingdom
Book Print on Demand
Condition: New. Print on Demand pp. 492 144 Illus.
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1447125487ISBN 13: 9781447125488
Seller: Revaluation Books, Exeter, United Kingdom
Book
Paperback. Condition: Brand New. 2nd edition. 493 pages. 9.25x6.10x1.18 inches. In Stock.
Published by Springer, 2010
ISBN 10: 1849960976ISBN 13: 9781849960977
Seller: Mispah books, Redhill, SURRE, United Kingdom
Book
Hardcover. Condition: Like New. Like New. book.
Published by Springer, 2012
ISBN 10: 1447125487ISBN 13: 9781447125488
Seller: Mispah books, Redhill, SURRE, United Kingdom
Book
Paperback. Condition: Like New. Like New. book.