Van gestel tony (14 Ergebnisse)

Hardcover. Zustand: Very Good. With dust jacket. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Hardback. Zustand: New. This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpretations from optimization theory. The authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis. Bayesian inference of LS-SVM models is discussed, together with methods for imposing sparseness and employing robust statistics.The framework is further extended towards unsupervised learning by considering PCA analysis and its kernel version as a one-class modelling problem. This leads to new primal-dual support vector machine formulations for kernel PCA and kernel CCA analysis. Furthermore, LS-SVM formulations are given for recurrent networks and control. In general, support vector machines may pose heavy computational challenges for large data sets. For this purpose, a method of fixed size LS-SVM is proposed where the estimation is done in the primal space in relation to a Nyström sampling with active selection of support vectors. The methods are illustrated with several examples.…

Hardcover. Zustand: Brand New. 308 pages. 9.25x6.25x1.00 inches. In Stock.

Zustand: Very Good.

hardcover. Zustand: New. In shrink wrap. Looks like an interesting title.

Zustand: New. This first of three volumes on credit risk management, providing a thorough introduction to financial risk management and modelling. Num Pages: 552 pages, numerous figures. BIC Classification: KCH; KFF; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 164 x 35. Weight in Grams: 934. . 2008. Hardback. . . . . …

Zustand: New.

Hardback. Zustand: New. This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpretations from optimization theory. The authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis. Bayesian inference of LS-SVM models is discussed, together with methods for imposing sparseness and employing robust statistics.The framework is further extended towards unsupervised learning by considering PCA analysis and its kernel version as a one-class modelling problem. This leads to new primal-dual support vector machine formulations for kernel PCA and kernel CCA analysis. Furthermore, LS-SVM formulations are given for recurrent networks and control. In general, support vector machines may pose heavy computational challenges for large data sets. For this purpose, a method of fixed size LS-SVM is proposed where the estimation is done in the primal space in relation to a Nyström sampling with active selection of support vectors. The methods are illustrated with several examples.…

Zustand: New. This first of three volumes on credit risk management, providing a thorough introduction to financial risk management and modelling. Num Pages: 552 pages, numerous figures. BIC Classification: KCH; KFF; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 164 x 35. Weight in Grams: 934. . 2008. Hardback. . . . . Books ship from the US and Ireland. …

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Brand New. 1st edition. 500 pages. 9.25x6.25x1.50 inches. In Stock.