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Beschreibung
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.
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.
Über den Autor

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

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2018
Fachbereich: EDV
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Taschenbuch
ISBN-13: 9781138381971
ISBN-10: 1138381977
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Liang, Yizeng
Xu, Qing-Song
Li, Hong-Dong
Hersteller: CRC Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 234 x 156 x 12 mm
Von/Mit: Yizeng Liang (u. a.)
Erscheinungsdatum: 10.09.2018
Gewicht: 0,33 kg
Artikel-ID: 133218515