Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,54
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 164,52
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 180,70
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 209,75
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Aggiungi al carrelloHardback. Condizione: New. 2nd ed. 2010.
Condizione: New. pp. 492 2nd Edition.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 168,73
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 237,53
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 227,99
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Aggiungi al carrelloHardcover. Condizione: Like New. Like New. book.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 262,31
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Rarewaves.com UK, London, Regno Unito
EUR 198,67
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Aggiungi al carrelloHardback. Condizione: 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.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 126,26
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 160,49
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: moluna, Greven, Germania
EUR 137,26
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 223,09
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 492 144 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 222,84
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 492.