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Support Vector Machines and Their Application in Chemistry and Biotechnology

Support Vector Machines and Their Application in Chemistry and Biotechnology

Hong-Dong Li / Qing-Song Xu / Yizeng Liang

118,05 €
IVA incluido
Disponible
Editorial:
Taylor & Francis Ltd
Año de edición:
2018
Materia
Informática: cuestiones generales
ISBN:
9781138381971
118,05 €
IVA incluido
Disponible

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Sobre IBD

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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