| 书目名称 | Scalable Pattern Recognition Algorithms |
| 副标题 | Applications in Comp |
| 编辑 | Pradipta Maji,Sushmita Paul |
| 视频video | |
| 概述 | Reviews the development of scalable pattern recognition algorithms for computational biology and bioinformatics.Includes numerous examples and experimental results to support the theoretical concepts |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2014 |
| 关键词 | Artificial Intelligence; Bioinformatics; Computational Biology; Computational Intelligence; Data Mining; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-05630-2 |
| isbn_softcover | 978-3-319-37965-4 |
| isbn_ebook | 978-3-319-05630-2 |
| copyright | Springer International Publishing Switzerland 2014 |
发表于 2025-3-21 16:06:47
