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Comparative study of classifier ensembles for cost-sensitive credit risk assessment 期刊论文
INTELLIGENT DATA ANALYSIS, 2015, 期号: 19, 页码: 127-144
Authors:  Du, Huibin;  Li, Bingli;  Brown, Marilyn A.;  Mao, Guozhu;  Rameezdeen, Raufdeen;  Chen, Hao
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Superedge prediction: What opinions will be mined based on an opinion supernetwork model? 期刊论文
DECISION SUPPORT SYSTEMS, 2014, 期号: 64, 页码: 118-129
Authors:  Liu, YJ;  Li, QQ;  Tang, XY;  Ma, N;  Tian, RY;  北京8712信箱
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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
Authors:  Li, JP;  Li, G;  Sun, DX;  Lee, CF
Adobe PDF(505Kb)  |  Favorite  |  View/Download：680/4  |  Submit date：2012/11/12
Adaptive Penalty  Support Vector Machine  Credit Risk Classification  Evolution Strategy  
A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting 期刊论文
APPLIED ENERGY, 2012, 卷号: 93, 期号: 1, 页码: 12,432-443
Authors:  Tang, L;  Yu, LA;  Wang, S;  Li, JP;  Wang, SY
Adobe PDF(913Kb)  |  Favorite  |  View/Download：700/7  |  Submit date：2012/11/12
Nuclear Energy Consumption Forecasting  Hybrid Ensemble Learning Paradigm  Ensemble Empirical Mode Decomposition  
Technology Transfer from China to Pakistan 学位论文
管理科学与工程, 北京: 中国科学院, 2011
Authors:  Mansoor Shahab
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A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China 期刊论文
ENERGY, 2011, 卷号: 36, 期号: 11, 页码: 13,6542-6554
Authors:  Wang, S;  Yu, L;  Tang, L;  Wang, SY
Adobe PDF(913Kb)  |  Favorite  |  View/Download：518/3  |  Submit date：2012/11/12
Hydropower Consumption Forecasting  Lssvr Ensemble Learning  Seasonal Decomposition  
Multiple-kernel SVM based multiple-task oriented data mining system for gene expression data analysis 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 10, 页码: 9,12151-12159
Authors:  Chen, ZY;  Li, JP;  Wei, LW;  Xu, WX;  Shi, Y
Adobe PDF(352Kb)  |  Favorite  |  View/Download：607/3  |  Submit date：2012/11/12
Support Vector Machine  Multiple-kernel Learning  Feature Selection  Data Fusion  Decision Rule  Associated Rule  Subclass Discovery  Gene Expression  
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
Authors:  Wei, LW;  Chen, ZY;  Li, JP
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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
Authors:  Liu, JL;  Li, JP;  Xu, WX;  Shi, Y
Adobe PDF(429Kb)  |  Favorite  |  View/Download：828/8  |  Submit date：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
Authors:  Li, JP;  Wei, LW;  Li, G;  Xu, WX
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Multi-criteria Programming  Multiple Kernels  Evolution Strategies  Credit Risk  Decision Making