Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics

di Pradipta Maji (Autore)

Sushmita Paul (Autore)

Springer International Publishing AG, 2016

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.

• Autore: Pradipta Maji, Sushmita Paul
• Editore: Springer International Publishing AG
• Anno: 2016
• Rilegatura: Paperback / softback
• Pagine: 304 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783319379654

Testo in English