Support Vector Machines and Their Application in Chemistry and Biotechnology - Liang, Yizeng (Central South University, Changsha, China) - 書籍 - Taylor & Francis Ltd - 9781138381971 - 2018年9月10日
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Liang, Yizeng (Central South University, Changsha, China)
Support Vector Machines and Their Application in Chemistry and Biotechnology 第1 版

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発送予定日 年10月27日 - 年11月12日
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Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar with what they are and how they work. Presenting a clear bridge between theory and application, Support Vector Machines and Their Application in Chemistry and Biotechnology provides a thorough description of the mechanism of SVMs from the point of view of chemists and biologists, enabling them to solve difficult problems with the help of these powerful tools.

Topics discussed include:

Background and key elements of support vector machines and applications in chemistry and biotechnology Elements and algorithms of support vector classification (SVC) and support vector regression (SVR) machines, along with discussion of simulated datasets The kernel function for solving nonlinear problems by using a simple linear transformation method Ensemble learning of support vector machines Applications of support vector machines to near-infrared data Support vector machines and quantitative structure-activity/property relationship (QSAR/QSPR) Quality control of traditional Chinese medicine by means of the chromatography fingerprint technique The use of support vector machines in exploring the biological data produced in OMICS study

Beneficial for chemical data analysis and the modeling of complex physic-chemical and biological systems, support vector machines show promise in a myriad of areas. This book enables non-mathematicians to understand the potential of SVMs and utilize them in a host of applications.

211 pages, 219 equations; 19 Tables, black and white; 70 Illustrations, black and white

メディア 書籍     Paperback Book   (ソフトカバーで背表紙を接着した本)
リリース済み 2018年9月10日
ISBN13 9781138381971
出版社 Taylor & Francis Ltd
ページ数 211
寸法 150 × 220 × 10 mm   ·   390 g
言語 英語  

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