Anbieter: SpringBooks, Berlin, Deutschland
Erstausgabe
EUR 55,43
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbSoftcover. Zustand: Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany.
Anbieter: SpringBooks, Berlin, Deutschland
Erstausgabe
EUR 62,58
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Very Good. 1. Auflage. Unread, with some shelfwear. Immediately dispatched from Germany.
Verlag: Springer International Publishing, Springer International Publishing, 2020
ISBN 10: 3030224589 ISBN 13: 9783030224585
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 171,19
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.Allows readers to analyze data sets with small samples and many features;Provides a fast algorithm, based upon linear algebra, to analyze big data;Includes several applications to multi-view data analyses, with a focus on bioinformatics.
Verlag: Springer International Publishing, Springer International Publishing Sep 2020, 2020
ISBN 10: 3030224589 ISBN 13: 9783030224585
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
EUR 171,19
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 170,93
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Books Puddle, New York, NY, USA
EUR 180,60
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbZustand: New. Second Edition 2024 NO-PA16APR2015-KAP.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 187,26
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbZustand: New.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 193,29
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
EUR 191,57
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbZustand: New.
Verlag: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
Sprache: Englisch
Anbieter: AussieBookSeller, Truganina, VIC, Australien
EUR 184,16
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: new. Hardcover. This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tensor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics. This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tensor decomposition. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Anbieter: California Books, Miami, FL, USA
EUR 211,69
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Verlag: Springer International Publishing, Springer International Publishing Sep 2024, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
EUR 213,99
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbBuch. Zustand: Neu. Neuware -This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tensor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 556 pp. Englisch.
Verlag: Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 213,99
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tensor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.
EUR 219,07
Währung umrechnenAnzahl: 4 verfügbar
In den WarenkorbZustand: New. pp. XVIII, 321 111 illus., 94 illus. in color. 1 Edition NO-PA16APR2015-KAP.
Anbieter: Lucky's Textbooks, Dallas, TX, USA
EUR 171,58
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 234,77
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 238,43
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 321 pages. 9.25x6.25x0.75 inches. In Stock.
Anbieter: California Books, Miami, FL, USA
EUR 257,12
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New.
Verlag: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
Sprache: Englisch
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
EUR 246,14
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: new. Hardcover. This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tensor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics. This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tensor decomposition. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
EUR 246,78
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: New. New. book.
Verlag: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
Sprache: Englisch
Anbieter: Grand Eagle Retail, Fairfield, OH, USA
EUR 252,64
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: new. Hardcover. This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tensor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics. This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tensor decomposition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 313,91
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 555 pages. 9.25x6.10x9.21 inches. In Stock.
Verlag: Springer International Publishing, 2020
ISBN 10: 3030224589 ISBN 13: 9783030224585
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
EUR 146,12
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbKartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Allows readers to analyze data sets with small samples and many featuresProvides a fast algorithm, based upon linear algebra, to analyze big dataIncludes several applications to multi-view data analyses, with a focus on bioinf.
Verlag: Springer International Publishing Sep 2020, 2020
ISBN 10: 3030224589 ISBN 13: 9783030224585
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
EUR 171,19
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.Allows readers to analyze data sets with small samples and many features;Provides a fast algorithm, based upon linear algebra, to analyze big data;Includes several applications to multi-view data analyses, with a focus on bioinformatics. 340 pp. Englisch.
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
EUR 181,53
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbGebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own .
Verlag: Springer, Berlin, Springer International Publishing, Springer, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
EUR 213,99
Währung umrechnenAnzahl: 2 verfügbar
In den WarenkorbBuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tensor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics. 527 pp. Englisch.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 220,98
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 555 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 229,29
Währung umrechnenAnzahl: 4 verfügbar
In den WarenkorbZustand: New. Print on Demand pp. XVIII, 321 111 illus., 94 illus. in color.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
EUR 231,22
Währung umrechnenAnzahl: 4 verfügbar
In den WarenkorbZustand: New. PRINT ON DEMAND pp. XVIII, 321 111 illus., 94 illus. in color.