Target Specific Compound Identification Using a Support Vector Machine

Publisher： Bentham Science Publishers

E-ISSN： 1875-5402|10|3|189-196

ISSN： 1386-2073

Source： Combinatorial Chemistry & High Throughput Screening, Vol.10, Iss.3, 2007-03, pp. : 189-196

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Classification of Active and Weakly Active ST Inhibitors of HIV-1 Integrase Using a Support Vector Machine

By  

Combinatorial Chemistry & High Throughput Screening, Vol. 15, Iss. 10, 2012-12 ,pp. : 792-805

Bentham Science Publishers

Access to resources Recommend Favorite

A novel ensemble scheme for the multi-focus image fusion using support vector machine

By Kausar Nabeela   Majid Abdul   Sattar Mohsin  

International Journal of Computer Mathematics, Vol. 91, Iss. 9, 2014-09 ,pp. : 2072-2090

Taylor & Francis Ltd

Access to resources Recommend Favorite

Dual margin approach on a Lagrangian support vector machine

By Hwang Jae Pil   Park Seongkeun   Kim Euntai  

International Journal of Computer Mathematics, Vol. 88, Iss. 4, 2011-03 ,pp. : 695-708

Taylor & Francis Ltd

Access to resources Recommend Favorite

Support vector machine for structural reliability analysis

By Li Hong-shuang   Lü Zhen-zhou   Yue Zhu-feng  

Applied Mathematics and Mechanics, Vol. 27, Iss. 10, 2006-10 ,pp. : 1295-1303

Springer Publishing Company

Access to resources Recommend Favorite

Classification of Acetylcholinesterase Inhibitors and Decoys by a Support Vector Machine

By  

Combinatorial Chemistry & High Throughput Screening, Vol. 15, Iss. 6, 2012-07 ,pp. : 492-502

Bentham Science Publishers

Access to resources Recommend Favorite