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Evolution strategy based adaptive L-q penalty support vector machines with Gauss kernel for credit risk analysis 期刊论文
APPLIED SOFT COMPUTING, 2012, 卷号: 12, 期号: 8, 页码: 8,2675-2682
作者:  Li, JP;  Li, G;  Sun, DX;  Lee, CF
Adobe PDF(505Kb)  |  收藏  |  浏览/下载：635/4  |  提交时间：2012/11/12
Adaptive Penalty  Support Vector Machine  Credit Risk Classification  Evolution Strategy  
Evolution strategies based adaptive L-p LS-SVM 期刊论文
INFORMATION SCIENCES, 2011, 卷号: 181, 期号: 14, 页码: 17,3000-3016
作者:  Wei, LW;  Chen, ZY;  Li, JP
Adobe PDF(505Kb)  |  收藏  |  浏览/下载：529/4  |  提交时间：2012/11/12
Adaptive Penalty  Least Squares Support Vector Machine  Classification  Evolution Strategies  
A weighted L-q adaptive least squares support vector machine classifiers - Robust and sparse approximation 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 3, 页码: 7,2253-2259
作者:  Liu, JL;  Li, JP;  Xu, WX;  Shi, Y
Adobe PDF(429Kb)  |  收藏  |  浏览/下载：729/8  |  提交时间：2012/11/12
Least Squares Support Vector Machine  Weight  Adaptive Penalty  Classification  Robust  Sparse  
An evolution strategy-based multiple kernels multi-criteria programming approach: The case of credit decision making 期刊论文
DECISION SUPPORT SYSTEMS, 2011, 卷号: 51, 期号: 2, 页码: 7,292-298
作者:  Li, JP;  Wei, LW;  Li, G;  Xu, WX
Adobe PDF(462Kb)  |  收藏  |  浏览/下载：978/2  |  提交时间：2012/11/12
Multi-criteria Programming  Multiple Kernels  Evolution Strategies  Credit Risk  Decision Making  
Feature selection via Least Squares Support Feature Machine 期刊论文
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2007, 卷号: 6, 期号: 4, 页码: 16,671-686
作者:  Li, JP;  Chen, ZY;  Wei, LW;  Xu, WX;  Kou, G
Adobe PDF(225Kb)  |  收藏  |  浏览/下载：1569/1  |  提交时间：2012/11/12
Feature Selection  Support Vector Machine  Credit Assessment  
Feature selection via Least Squares Support Feature Machine 期刊论文
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2007, 卷号: 6, 期号: 4, 页码: 16,671-686
作者:  Li, JP;  Chen, ZY;  Wei, LW;  Xu, WX;  Kou, G
Adobe PDF(225Kb)  |  收藏  |  浏览/下载：390/1  |  提交时间：2012/11/12
Feature Selection  Support Vector Machine  Credit Assessment  
A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue 期刊论文
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2007, 卷号: 41, 期号: 2, 页码: 15,161-175
作者:  Chen, ZY;  Li, JP;  Wei, LW
Adobe PDF(250Kb)  |  收藏  |  浏览/下载：916/3  |  提交时间：2012/11/12
Multiple Kernel Learning  Support Vector Machine  Feature Selection  Rule Extraction  Gene Expression Data