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Zustand: New. pp. 328.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2014
ISBN 10: 3319056298 ISBN 13: 9783319056296
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Sprache: Englisch
Verlag: Springer International Publishing, 2016
ISBN 10: 3319379658 ISBN 13: 9783319379654
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Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2014
ISBN 10: 3319056298 ISBN 13: 9783319056296
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Buch. Zustand: 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.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2016
ISBN 10: 3319379658 ISBN 13: 9783319379654
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Sprache: Englisch
Verlag: Springer International Publishing Aug 2016, 2016
ISBN 10: 3319379658 ISBN 13: 9783319379654
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Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: Springer International Publishing Apr 2014, 2014
ISBN 10: 3319056298 ISBN 13: 9783319056296
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch. Zustand: 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.
Sprache: Englisch
Verlag: Springer International Publishing, 2016
ISBN 10: 3319379658 ISBN 13: 9783319379654
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In den WarenkorbZustand: 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.
Sprache: Englisch
Verlag: Springer International Publishing, 2014
ISBN 10: 3319056298 ISBN 13: 9783319056296
Anbieter: moluna, Greven, Deutschland
EUR 92,27
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In den WarenkorbZustand: 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.
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