{"product_id":"9781849960977","title":"Support Vector Machines for Pattern Classification","description":"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.","brand":"Shigeo Abe","offers":[{"title":"Default Title","offer_id":47709916266814,"sku":"9781849960977","price":4684.25,"currency_code":"ZAR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4357\/7662\/products\/9781849960977_a2cb637d-6835-42b4-958f-c6cc380c3a7f.jpg?v=1707639302","url":"https:\/\/exclusivebooks.co.za\/products\/9781849960977","provider":"Exclusive Books Online","version":"1.0","type":"link"}