Scalable Pattern Recognition Algorithms
Format: Hardcover
ISBN13: 9783319056296
Hardcover|9783319056296
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Overview
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.
| ISBN-13 | 9783319056296 |
|---|---|
| ISBN-10 | 3319056298 |
| Weight | 14.87 Pounds |
| Dimensions | 6.10 x 0.90 x 9.20 In |
| List Price | $109.99 |
| Edition | 1st Edition |
| Format | Hardcover |
|---|---|
| Language | English |
| Pages | xxii, 304 pages |
| Publisher | Springer |
| Published On | 2014-04-04 |
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Alibris
Sparks, NV, USA
Sewn binding. Cloth over boards. 304 p. Contains: Illustrations, black & white, Illustrations, col...
Free delivery by: 05 Apr 2026