Support Vector Machines for Pattern Classification (BOK)

Shigeo Abe

1 559,00 1 55900
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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.

Produktfakta

Språk Engelsk Engelsk Innbinding Innbundet
Utgitt 2010 Forfatter Shigeo Abe
Forlag
BERTRAMS PRINT ON DEMAND
ISBN 9781849960977
Antall sider 492 Dimensjoner 15,6cm x 23,4cm x 2,6cm
Vekt 862 gram Leverandør Bertram Trading Ltd
Emner og form Pattern recognition, Automatic control engineering