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

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 wi

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• 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.

Inhaltsangabe

Overview of support vector machines. Support vector machines for
classification and regression. Kernel methods. Ensemble learning of support
vector machines. Support vector machines applied to near-infrared
spectroscopy. Support vector machines and QSAR/QSPR. Support vector
machines applied to traditional Chinese medicine. Support vector machines
applied to OMICS study. Index.