Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics - Paperback

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: Aug 23, 2016
• | Number of Pages: 304 pages
• | Binding: Paperback or Softback
• | ISBN-10: 3319379658
• | ISBN-13: 9783319379654