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Book synopsis

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.

Book details

Book category Knihy po anglicky Medicine Other branches of medicine Medical imaging

• Full title: Scalable Pattern Recognition Algorithms
• Subtitle: Applications in Computational Biology and Bioinformatics
• Author: Pradipta Maji, Sushmita Paul
• Language: English
• Binding: Hardback
• Number of pages: 304
• EAN: 9783319056296
• ISBN: 3319056298
• ID: 02526862
• Publisher: Springer International Publishing AG
• Weight: 602 g
• Dimensions: 163 × 241 × 18 mm
• Date of publishing: 20. March 2014

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