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Hardcover - 9783319056296
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Beschreibung
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.
Applications in Computational Biology and Bioinformatics
Applications in Computational Biology and Bioinformatics
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 23. August 2016 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 499 Gramm |
| Format | Softcover |
| ISBN-13 | 9783319379654 |
| Auflage | Softcover reprint of the original 1st ed. 2014 |
| Seiten | 304 |
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