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Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics
Pradipta Maji
(Author)
·
Sushmita Paul
(Author)
·
Springer
· Paperback
Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics - Maji, Pradipta ; Paul, Sushmita
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Synopsis "Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics"
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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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