Springer
Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics
Product Code:
9783319056296
ISBN13:
9783319056296
Condition:
New
$118.37
Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics
$118.37
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.
| Author: Pradipta Maji |
| Publisher: Springer |
| Publication Date: Apr 04, 2014 |
| Number of Pages: 304 pages |
| Binding: Hardback or Cased Book |
| ISBN-10: 3319056298 |
| ISBN-13: 9783319056296 |
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