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Scalable Pattern Recognition Algorithms

Applications in Computational Biology and Bioinformatics

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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.weiterlesen

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-319-05630-2 / 978-3319056302 / 9783319056302

Verlag: Springer International Publishing

Erscheinungsdatum: 19.03.2014

Seiten: 304

Autor(en): Pradipta Maji, Sushmita Paul

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