Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
EUR 97,54
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Ajouter au panierEtat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Edité par Springer Berlin Heidelberg, 2010
ISBN 10 : 3642068561 ISBN 13 : 9783642068560
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 106,99
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Ajouter au panierTaschenbuch. 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.
Edité par Springer Berlin Heidelberg, 2006
ISBN 10 : 3540316817 ISBN 13 : 9783540316817
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 106,99
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierBuch. 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.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 116,52
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Ajouter au panierEtat : New. In.
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2006, 2006
ISBN 10 : 3540316817 ISBN 13 : 9783540316817
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 106,99
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Ajouter au panierBuch. Etat : Neu. Neuware -'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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 116,50
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 131,99
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EUR 146,45
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Ajouter au panierEtat : New. pp. 278.
Edité par Springer Berlin Heidelberg, 2006
ISBN 10 : 3642068561 ISBN 13 : 9783642068560
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 150,01
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Ajouter au panierPaperback. Etat : Brand New. 260 pages. 9.00x6.00x0.63 inches. In Stock.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 101,80
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 101,80
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 172,38
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Vendeur : Best Price, Torrance, CA, Etats-Unis
EUR 95,68
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 187,38
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 177,84
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Ajouter au panierHardcover. Etat : Like New. Like New. book.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 185
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 210,62
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Edité par Springer Berlin Heidelberg, 2010
ISBN 10 : 3642068561 ISBN 13 : 9783642068560
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 92,27
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Ajouter au panierEtat : 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 book about (machine) learning from (experimental) data This is the first book treating the fields of supervised, semi-supervised an.
Edité par Springer Berlin Heidelberg, 2006
ISBN 10 : 3540316817 ISBN 13 : 9783540316817
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 92,27
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Ajouter au panierGebunden. 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 book about (machine) learning from (experimental) data This is the first book treating the fields of supervised, semi-supervised an.
Edité par Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10 : 3642068561 ISBN 13 : 9783642068560
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 106,99
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. 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.
Edité par Springer Berlin Heidelberg Mrz 2006, 2006
ISBN 10 : 3540316817 ISBN 13 : 9783540316817
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 106,99
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. 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. 284 pp. Englisch.
Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10 : 3642068561 ISBN 13 : 9783642068560
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 106,99
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -'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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 151,04
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Ajouter au panierEtat : New. Print on Demand pp. 278 96 Illus.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 158,71
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 278.