Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 117,33
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 117,32
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Condizione: New.
Condizione: New. pp. 328.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2014
ISBN 10: 3319056298 ISBN 13: 9783319056296
Da: Revaluation Books, Exeter, Regno Unito
EUR 158,36
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2014 edition. 304 pages. 9.00x6.25x0.75 inches. In Stock.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 112,94
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.
Da: Buchpark, Trebbin, Germania
EUR 78,71
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 176,81
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 167,13
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Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
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.
Lingua: Inglese
Editore: Springer International Publishing Apr 2014, 2014
ISBN 10: 3319056298 ISBN 13: 9783319056296
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography. 328 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2014
ISBN 10: 3319056298 ISBN 13: 9783319056296
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. Reviews the development of scalable pattern recognition algorithms for computational biology and bioinformaticsIncludes numerous examples and experimental results to support the theoretical concepts describedConcludes each chapter with dire.
Da: Majestic Books, Hounslow, Regno Unito
EUR 157,98
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 328 65 Illus. (10 Col.).
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Apr 2014, 2014
ISBN 10: 3319056298 ISBN 13: 9783319056296
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 addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 328 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 158,61
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 328.