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.

Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics

Computers & Technology

Maji, Pradipta

Paul, Sushmita

Computer Science

Springer

See the best price to sell, buy, or rent books by Paul, Sushmita. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Paul, Sushmita

See the best price to sell, buy, or rent books by Paul, Sushmita. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics

Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics