Scalable Pattern Recognition Algorithms : Applications in Computational Biology and Bioinformatics Hardback
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.
- Format: Hardback
- Pages: 304 pages, 64 Tables, black and white; 10 Illustrations, color; 45 Illustrations, black and white; X
- Publisher: Springer International Publishing AG
- Publication Date: 20/03/2014
- Category: Radiology
- ISBN: 9783319056296
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