Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning - Couverture souple

Huang, Te-Ming; Kecman, Vojislav; Kopriva, Ivica

9783642068560: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning

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ISBN 10 : 3642068561 ISBN 13 : 9783642068560

Editeur : Springer, 2010

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Kernel Based Algorithms for Mining Huge Data Sets This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.

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This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer
Date d'�dition2010
ISBN 10 3642068561
ISBN 13 9783642068560
ReliureBroch�
Langueanglais
Nombre de pages276

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9783540316817: Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, And Unsupervised Learning

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Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence, 17)

Huang, Te-Ming; Kecman, Vojislav; Kopriva, Ivica

Edit� par Springer, 2010

ISBN 10 : 3642068561 ISBN 13 : 9783642068560

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Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence, 17)

Huang, Te-Ming; Kecman, Vojislav; Kopriva, Ivica

Edit� par Springer, 2010

ISBN 10 : 3642068561 ISBN 13 : 9783642068560

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Kernel Based Algorithms for Mining Huge Data Sets

Te-Ming Huang

Edit� par Springer Berlin Heidelberg Nov 2010, 2010

ISBN 10 : 3642068561 ISBN 13 : 9783642068560

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques. 276 pp. Englisch. N� de r�f. du vendeur 9783642068560

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Kernel Based Algorithms for Mining Huge Data Sets : Supervised, Semi-supervised, and Unsupervised Learning

Te-Ming Huang

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 3642068561 ISBN 13 : 9783642068560

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Kernel Based Algorithms for Mining Huge Data Sets' is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction (feature elimination) and shows the similarities and differences between the two most popular unsupervised techniques, the principal component analysis (PCA) and the independent component analysis (ICA). The book presents various examples, software, algorithmic solutions enabling the reader to develop their own codes for solving the problems. The book is accompanied by a website for downloading both data and software for huge data sets modeling in a supervised and semisupervised manner, as well as MATLAB based PCA and ICA routines for unsupervised learning. The book focuses on a broad range of machine learning algorithms and it is particularly aimed at students, scientists, and practicing researchers in bioinformatics (gene microarrays), text-categorization, numerals recognition, as well as in the images and audio signals de-mixing (blind source separation) areas. N� de r�f. du vendeur 9783642068560

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Kernel Based Algorithms for Mining Huge Data Sets

Te-Ming Huang|Vojislav Kecman|Ivica Kopriva

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 3642068561 ISBN 13 : 9783642068560

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reports recent research results on Kernel Based Algorithms for Mining Huge Data SetsA&nbspbook about (machine) learning from (experimental) data This is the first book treating the fields of supervised, semi-supervised an. N� de r�f. du vendeur 5045945

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