Applications of Support Vector Machines in Chemistry

Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, Texas 

Support vector machines represent an extension to nonlinear models of the generalized portrait algorithm developed by Vapnik and Lemer. The SVM algorithm is based on the statistical learning theory and the Vapnik-Chervonenkis 

Reviews in Computational Chemistry, Volume 23 edited by Kenny B. Lipkowitz and Thomas R. Cundari Copyright 2007 Wiley-VCH, John Wiley Sons, Inc. 

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Ivanciuc, O. Applications of support vector machines in chemistry. In Reviews in Computational Chemistry, Upkowitz,... 

Ovidiu Ivanciuc, Applications of Support Vector Machines in Chemistry. 

Ivanciuc, O. Applications of support vector machines in chemistry. In Reviews in Computational Chemistry, Lipkowitz, K.B. Cundari, T.R. Eds. Wiley-VCH Weinheim, 2007 Vol. 23, pp. 291 100. 

Ovidiu Ivanciuc, Applications of Support Vector Machines in Chemistry. Donald B. Boyd, How Computational Chemistry Became Important in the Pharmaceutical Industry,... 

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