Scalable Pattern Recognition Algorithms

Applications in Computational Biology and Bioinformatics

von Pradipta Maji, Sushmita Paul

304 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Themen: Mathematik und Naturwissenschaften Biologie, Biowissenschaften Biowissenschaften, allgemein DV-gestützte Biologie/Bioinformatik
• ISBN: 9783319379654
• Sprache: Englisch
• Erscheinungsdatum: 23.08.2016
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing