2014, ISBN: 3319056298

[EAN: 9783319056296], Neubuch, [SC: 0.0], [PU: Springer International Publishing], ARTIFICIALINTELLIGENCE; COMPUTATIONALBIOLOGY; COMPUTATIONALINTELLIGENCE; DATAMINING; MACHINELEARNING; ME… Mehr…

[EAN: 9783319056296], Neubuch, [SC: 0.0], [PU: Springer International Publishing], ARTIFICIALINTELLIGENCE; COMPUTATIONALBIOLOGY; COMPUTATIONALINTELLIGENCE; DATAMINING; MACHINELEARNING; MEDICALIMAGING; PATTERNRECOGNITION; SOFTCOMPUTING, 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., Books<

2014, ISBN: 9783319056296

[ED: Gebunden], [PU: Springer International Publishing], This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciou… Mehr…

[ED: Gebunden], [PU: Springer International Publishing], 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..., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 328, [GW: 658g], 2014, Banküberweisung, PayPal, [CT: Sonstiges / Sonstiges]<

2014, ISBN: 9783319056296

[ED: Gebunden], [PU: Springer International Publishing], This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciou… Mehr…

[ED: Gebunden], [PU: Springer International Publishing], 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..., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 328, [GW: 658g], 2014, PayPal, [CT: Sonstiges / Sonstiges]<

ISBN: 9783319056296

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 rec… Mehr…

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<