Scalable Pattern Recognition Algorithms

Released on by Pradipta Maji
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  • Scalable Pattern Recognition Algorithms Book Detail

  • Author : Pradipta Maji
  • Release Date : 2014-03-19
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 316
  • ISBN 13 : 3319056301
  • File Size : 17,17 MB
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Scalable Pattern Recognition Algorithms by Pradipta Maji PDF Summary

Book 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.

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