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portada Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics
Type
Physical Book
Author
Publisher
Language
English
Pages
304
Format
Paperback
Dimensions
23.4x15.6x1.8 cm
Weight
0.46 kg.
ISBN13
9783319379654
Categories

Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics

Pradipta Maji (Author) · Sushmita Paul (Author) · Springer · Paperback

Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics - Maji, Pradipta ; Paul, Sushmita

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Synopsis "Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics"

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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