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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics

Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics

Maji, Pradipta
Paul, Sushmita

Paperback

DatabasesGeneral Computers

ISBN10: 3319379658
ISBN13: 9783319379654
Publisher: Springer Nature
Published: Aug 23 2016
Pages: 304
Weight: 1.01
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
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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