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unsupervised feature extraction applied di taguchi y h (24 risultati)
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![Immagine dell'editore per Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning) [Paperback] Taguchi, Y-h. venduto da SpringBooks](https://pictures.abebooks.com/isbn/9783030224585-it-300.jpg)
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Aggiungi al carrelloSoftcover. Condizione: Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany.
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![Immagine dell'editore per Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning) [Hardcover] Taguchi, Y-h. venduto da SpringBooks](https://pictures.abebooks.com/isbn/9783030224554-it-300.jpg)
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Aggiungi al carrelloHardcover. Condizione: Very Good. 1. Auflage. Unread, with some shelfwear. Immediately dispatched from Germany.
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning)
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. Second Edition 2024 NO-PA16APR2015-KAP.
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Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning)
Da: Majestic Books, Hounslow, Regno Unito
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EUR 187,51
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Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning)
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. XVIII, 321 111 illus., 94 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning)
Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 192,09
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Unsupervised Feature Extraction Applied to Bioinformatics (Hardcover)
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: 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.
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EUR 150,40
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Unsupervised Feature Extraction Applied to Bioinformatics | A PCA Based and TD Based Approach | Y-h. Taguchi | Taschenbuch | xxii | Englisch | 2025 | Springer | EAN 9783031609848 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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EUR 171,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning)
Da: California Books, Miami, FL, U.S.A.
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EUR 248,87
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Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach
Da: Revaluation Books, Exeter, Regno Unito
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EUR 257,57
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Aggiungi al carrelloHardcover. Condizione: Brand New. 321 pages. 9.25x6.25x0.75 inches. In Stock.
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Unsupervised Feature Extraction Applied to Bioinformatics
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Sep 2024, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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EUR 213,99
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Aggiungi al carrelloBuch. Condizione: 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.
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Unsupervised Feature Extraction Applied to Bioinformatics : A PCA Based and TD Based Approach
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
EUR 213,99
EUR 64,96 shipping
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
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Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and Td Based Approach
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 303,05
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Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 555 pages. 9.25x6.10x9.21 inches. In Stock.
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Unsupervised Feature Extraction Applied to Bioinformatics (Hardcover)
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
Da: AussieBookSeller, Truganina, VIC, Australia
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EUR 310,72
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Aggiungi al carrelloHardcover. Condizione: 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.
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Unsupervised Feature Extraction Applied to Bioinformatics
Lingua: Inglese
Editore: Springer, Springer Sep 2025, 2025
ISBN 10: 3031609840 ISBN 13: 9783031609848
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 171,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 556 pp. Englisch.
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Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning)
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 209,62
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Spedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. XVIII, 321 111 illus., 94 illus. in color.
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Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and Td Based Approach
Da: Revaluation Books, Exeter, Regno Unito
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EUR 211,74
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 555 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.
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Unsupervised Feature Extraction Applied to Bioinformatics: A PCA Based and TD Based Approach (Unsupervised and Semi-Supervised Learning)
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 4 su 5 stelle
EUR 212,39
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Spedito da Germania a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. XVIII, 321 111 illus., 94 illus. in color.
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Unsupervised Feature Extraction Applied to Bioinformatics
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
EUR 180,07
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Aggiungi al carrelloGebunden. Condizione: 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 .
-
Unsupervised Feature Extraction Applied to Bioinformatics
Lingua: Inglese
Editore: Springer, Springer Sep 2025, 2025
ISBN 10: 3031609840 ISBN 13: 9783031609848
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 171,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 556 pp. Englisch.
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Unsupervised Feature Extraction Applied to Bioinformatics
Lingua: Inglese
Editore: Springer, Berlin, Springer International Publishing, Springer, 2024
ISBN 10: 3031609816 ISBN 13: 9783031609817
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 213,99
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Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
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EUR 186,80
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Spedito da Germania a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Unsupervised Feature Extraction Applied to Bioinformatics | A PCA Based and TD Based Approach | Y-h. Taguchi | Buch | xxii | Englisch | 2024 | Springer | EAN 9783031609817 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
