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Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics
Pradipta Maji
€ 126.57
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Description for Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics
Hardback. Scalable Pattern Recognition Algorithms Num Pages: 304 pages, 45 black & white illustrations, 10 colour illustrations, 64 black & white tables, biograp. BIC Classification: MMPH; PSA; UNF; UYQ; UYQP. Category: (P) Professional & Vocational. Dimension: 163 x 241 x 18. Weight in Grams: 602.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2014
Condition
New
Number of Pages
304
Place of Publication
Cham, Switzerland
ISBN
9783319056296
SKU
V9783319056296
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1
About Pradipta Maji
Dr. Pradipta Maji is an Associate Professor in the Machine Intelligence Unit at the Indian Statistical Institute, Kolkata, India. Dr. Sushmita Paul is a Research Associate at the same institution.
Reviews for Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics
From the book reviews: “This book provides unique insights into how various soft computing and machine learning methods can be formulated and used in building efficient pattern recognition models. … This is a great resource to students and researchers in the fields of computer science, electrical and biomedical engineering. The author has explained the complex ideas through numerous examples ... Read more