Description
| Product ID: | 9783319056296 |
| Product Form: | Hardback |
| Country of Manufacture: | CH |
| Title: | Scalable Pattern Recognition Algorithms |
| Subtitle: | Applications in Computational Biology and Bioinformatics |
| Authors: | Author: Pradipta Maji, Sushmita Paul |
| Page Count: | 304 |
| Subjects: | Medical imaging, Medical imaging, Biology, life sciences, Data mining, Computer science, Artificial intelligence, Expert systems / knowledge-based systems, Pattern recognition, Biology, life sciences, Data mining, Computer science, Artificial intelligence, Expert systems / knowledge-based systems, Pattern recognition |
| Description: | Select Guide Rating 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. 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. |
| Imprint Name: | Springer International Publishing AG |
| Publisher Name: | Springer International Publishing AG |
| Country of Publication: | GB |
| Publishing Date: | 2014-04-04 |
