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Language: English
Published by World Scientific Pub Co Inc (edition ), 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: 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.
Language: English
Published by World Scientific Pub Co Inc, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
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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!
Language: English
Published by World Scientific Pub Co Inc, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
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hardcover. Condition: Good. No dust jacket. Ex-library book with typical stickers and stampings. Priority Mail is available on this item. No international shipping.
Language: English
Published by World Scientific Pub Co Inc, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
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hardcover. Condition: Very Good. Yellowed dust jacket. Priority Mail is available on this item. No international shipping.
Language: English
Published by World Scientific Pub Co Inc, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by World Scientific Pub Co Inc, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by World Scientific Publishing Co Pte Ltd, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: 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.
Language: English
Published by World Scientific Pub Co Inc, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by World Scientific Pub Co Inc, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
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Language: English
Published by World Scientific Pub Co Inc, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
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Language: Dutch
Published by Roularta Books (Roeselare), 2005
ISBN 10: 905466858X ISBN 13: 9789054668589
Seller: Untje.com, Roeselare, Belgium
Paperback. Condition: Fine. Dutch In de Eerste Wereldoorlog vluchtte een kwart van de Belgische bevolking voor het oorlogsgeweld. Tot vandaag leven verhalen van deze vluchtelingen voort in vele families die toen getroffen werden. Ze vertonen gelijkenissen met verhalen van asielzoekers die vandaag in ons land aankloppen. Ook zij zijn op de vlucht: voor oorlog, persoonlijke vervolging, uitbuiting, of gewoon voor de wanhoop die zich van hun leven meester maakt. Altijd een verkeerde tijd, op een verkeerde plaats. Net als toen. ?Verkeerde tijd, verkeerde plaats? is een wisselende reeks van ontmoetingen met vluchtelingen in België vandaag. Schrijver Bart Demyttenaere trok een tijdlang op met hedendaagse vluchtelingen. Bij het schrijven van zijn boek stuitte hij ook op de onvermoede verhalen van zijn beide oma's, vluchtelingen van 1914-18. Dit boek is geïllustreerd met foto's van twee fotografen. Nick Hannes toont de etappes van de asielprocedure in België. Dieter Telemans maakte portretten van mensen die met succes of tevergeefs in ons land aanklopten en bezocht het illegale verblijf van afgewezenen.
Language: English
Published by Society for Industrial and Applied Mathematics (SIAM), 2006
ISBN 10: 0898716039 ISBN 13: 9780898716030
Seller: Buchpark, Trebbin, Germany
Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Language: English
Published by World Scientific Pub Co Inc, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
Seller: Mooney's bookstore, Den Helder, Netherlands
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Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
US$ 181.61
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Add to basketHardback. Condition: 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.
Language: English
Published by World Scientific Pub Co Inc, 2003
ISBN 10: 9812381511 ISBN 13: 9789812381514
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 308 pages. 9.25x6.25x1.00 inches. In Stock.
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: 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.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by World Scientific Publishing Company, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.
hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Springer Berlin Heidelberg, 2013
ISBN 10: 3642267513 ISBN 13: 9783642267512
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Language: English
Published by Springer Berlin Heidelberg, 2011
ISBN 10: 3642194052 ISBN 13: 9783642194054
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Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2002
ISBN 10: 9812381511 ISBN 13: 9789812381514
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Add to basketHardback. Condition: 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.
Condition: New. pp. 228.
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Language: English
Published by Springer-Verlag New York Inc, 2013
ISBN 10: 3642267513 ISBN 13: 9783642267512
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Add to basketPaperback. Condition: Brand New. 2011 edition. 228 pages. 9.25x6.10x0.54 inches. In Stock.