Yizeng Liang, Qing-Song Xu, Hong-Dong Li, Dong-Sheng Cao

Support Vector Machines and Their Application in Chemistry and Biotechnology (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Presenting a clear bridge between theory and application, this volume provides a thorough description of the mechanism of support vector machines (SVMs) from the point of view of chemists and biologists. Topics discussed include elements and algorithms of support vector classification (SVC) machines and support vector regression machines (SVR), the kernel function for solving nonlinear problems, ensemble learning of SVMs, applications of SVMs to near-infrared data, SVMs and quantitative structure-activity/property relationships (QSAR/QSPR), quality control of traditional Chinese medicine by means of the chromatography fingerprint technique, and the use of SVMS in exploring the biological data produced in OMICS study.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781040053249
• Artikelnr.: 70085036

Autorenporträt

Yizeng Liang and Qing-Song Xu are with Central South University in Changsha, China.