Da: SpringBooks, Berlin, Germania
Prima edizione
EUR 56,42
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Very Good. 1. Auflage. Unread, with a mimimum of shelfwear. Immediately dispatched from Germany.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 139,72
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030407934 ISBN 13: 9783030407933
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 149,79
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.
Da: Revaluation Books, Exeter, Regno Unito
EUR 221,27
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 305 pages. 9.25x6.10x9.21 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 214,30
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. New. book.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 118,26
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Apr 2020, 2020
ISBN 10: 3030407934 ISBN 13: 9783030407933
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 149,79
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence. 308 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030407934 ISBN 13: 9783030407933
Da: moluna, Greven, Germania
EUR 127,40
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers advanced feature learning methods, such as sparse learning, and deep-learning-based feature learning Includes also traditional and cutting-edge feature learning methodsContains the detailed theoretical analysis of each featu.
Da: Majestic Books, Hounslow, Regno Unito
EUR 206,24
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, Springer Apr 2020, 2020
ISBN 10: 3030407934 ISBN 13: 9783030407933
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 149,79
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 308 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 206,33
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.