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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
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2014 edition. 304 pages. 9.00x6.25x0.75 inches. In Stock.
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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.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2016
ISBN 10: 3319379658 ISBN 13: 9783319379654
Da: Revaluation Books, Exeter, Regno Unito
EUR 154,71
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Aggiungi al carrelloPaperback. Condizione: Brand New. reprint edition. 328 pages. 9.25x6.10x0.77 inches. In Stock.
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Da: Basi6 International, Irving, TX, U.S.A.
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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 International Publishing, 2016
ISBN 10: 3319379658 ISBN 13: 9783319379654
Da: moluna, Greven, Germania
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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.
Lingua: Inglese
Editore: Springer International Publishing, 2014
ISBN 10: 3319056298 ISBN 13: 9783319056296
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. 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
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 328 65 Illus. (10 Col.).
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Aug 2016, 2016
ISBN 10: 3319379658 ISBN 13: 9783319379654
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. 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.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Apr 2014, 2014
ISBN 10: 3319056298 ISBN 13: 9783319056296
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
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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
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 328.
Da: Majestic Books, Hounslow, Regno Unito
EUR 199,80
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 326.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 202,73
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 326.