QSAR and classification models of a novel series of COX-2 selective inhibitors: 1, 5-diarylimidazoles based on support vector machines

Author： Liu H.X.   Zhang R.S.   Yao X.J.   Liu M.C.   Hu Z.D.   Fan B.T.  

Publisher： Springer Publishing Company

ISSN： 0920-654X

Source： Journal of Computer-Aided Molecular Design, Vol.18, Iss.6, 2004-06, pp. : 389-399

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

Pattern classification by goal programming and support vector machines

By Asada Takeshi   Yun Yeboon   Nakayama Hirotaka   Tanino Tetsuzo  

Computational Management Science, Vol. 1, Iss. 3-4, 2004-10 ,pp. : 211-230

Springer Publishing Company

Access to resources Recommend Favorite

Support Vector Machines for Classification in Nonstandard Situations

By Lin Y.  

Machine Learning, Vol. 46, Iss. 1-3, 2002-01 ,pp. : 191-202

Springer Publishing Company

Access to resources Recommend Favorite

Texture classification using the support vector machines

By Li S.   Kwok J.T.   Zhu H.   Wang Y.  

Pattern Recognition, Vol. 36, Iss. 12, 2003-12 ,pp. : 2883-2893

Elsevier

Access to resources Recommend Favorite

Multicategory classification via discrete support vector machines

By Orsenigo Carlotta  

Computational Management Science, Vol. 6, Iss. 1, 2009-02 ,pp. : 101-114

Springer Publishing Company

Access to resources Recommend Favorite

Efficient sparse nonparallel support vector machines for classification

By Tian Yingjie   Ju Xuchan   Qi Zhiquan  

Neural Computing & Applications, Vol. 24, Iss. 5, 2014-04 ,pp. : 1089-1099

Springer Publishing Company

Access to resources Recommend Favorite