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Condizione: New. pp. 280.
Condizione: New. pp. 280.
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Aggiungi al carrelloCondizione: New. pp. 280 110 Illus.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2012
ISBN 10: 3642290280 ISBN 13: 9783642290282
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Minimum Error Entropy Classification | Joaquim P. Marques de Sá (u. a.) | Taschenbuch | Studies in Computational Intelligence | xviii | Englisch | 2014 | Springer | EAN 9783642437427 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2014
ISBN 10: 3642437427 ISBN 13: 9783642437427
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi-layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE-like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.
Lingua: Inglese
Editore: Springer, Springer Spektrum, 2012
ISBN 10: 3642290280 ISBN 13: 9783642290282
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi-layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE-like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.
EUR 174,18
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 86,24
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Berlin Heidelberg Aug 2014, 2014
ISBN 10: 3642437427 ISBN 13: 9783642437427
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi-layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE-like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions. 280 pp. Englisch.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2012, 2012
ISBN 10: 3642290280 ISBN 13: 9783642290282
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi-layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE-like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions. 280 pp. Englisch.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2014
ISBN 10: 3642437427 ISBN 13: 9783642437427
Da: moluna, Greven, Germania
EUR 92,27
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents data classification methodologies based on a minimum error entropy approachIncludes both theoretical results and applications to real world datasetsWritten by leading experts in the fieldThis book explains the minimum er.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2012
ISBN 10: 3642290280 ISBN 13: 9783642290282
Da: moluna, Greven, Germania
EUR 92,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents data classification methodologies based on a minimum error entropy approachIncludes both theoretical results and applications to real world datasetsWritten by leading experts in the fieldThis book explains the minimum er.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 138,92
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 280.
Da: Majestic Books, Hounslow, Regno Unito
EUR 150,70
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 280 110 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 147,48
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 280.
Lingua: Inglese
Editore: Springer, Springer Jul 2012, 2012
ISBN 10: 3642290280 ISBN 13: 9783642290282
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi¿layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE¿like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Aug 2014, 2014
ISBN 10: 3642437427 ISBN 13: 9783642437427
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi¿layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE¿like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.