Scalable Pattern Recognition Algorithms : Applications in Computational Biology and Bioinformatics, Hardback Book

Scalable Pattern Recognition Algorithms : Applications in Computational Biology and Bioinformatics Hardback

Description

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.

Information

  • 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:
  • Category: Radiology
  • ISBN: 9783319056296

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