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Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications Journal article
Hong Chen, Youcheng Fu, Xue Jiang, Yanhong Chen, Weifu Li, Yicong Zhou, Feng Zheng. Gradient Learning With the Mode-Induced Loss: Consistency Analysis and Applications[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 35(7), 9686-9699.
Authors:  Hong Chen;  Youcheng Fu;  Xue Jiang;  Yanhong Chen;  Weifu Li; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:10.2/10.4 | Submit date：2023/08/03
Gradient Learning (Gl)  Learning Theory  Mode-induced Loss  Rademacher Complexity  Variable Selection  
Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation Journal article
Ka-Veng Yuen, Wen-Jing Zhang, Wang-Ji Yan. Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation[J]. Advanced Engineering Informatics, 2022, 55, 101859.
Authors:  Ka-Veng Yuen;  Wen-Jing Zhang;  Wang-Ji Yan
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:8.0/8.2 | Submit date：2023/02/08
Adaptive Bandwidth  General Regression  Model Class Selection  Seismic Attenuation  Sparse Data  Variable Selection  
Tunneling-induced settlement prediction using the hybrid feature selection method for feature optimization Journal article
Yang Cheng, Wan-Huan Zhou, Tao Xu. Tunneling-induced settlement prediction using the hybrid feature selection method for feature optimization[J]. Transportation Geotechnics, 2022, 36.
Authors:  Yang Cheng;  Wan-Huan Zhou;  Tao Xu
Favorite | TC[WOS]:18 TC[Scopus]:21  IF:4.9/5.1 | Submit date：2022/08/02
Feature Selection  Ground Settlement  Machine Learning  Shield Tunneling  Variable Importance  
Model selection for RBF-ARX models Journal article
Chen, Qiong Ying, Chen, Long, Su, Jian Nan, Fu, Ming Jian, Chen, Guang Yong. Model selection for RBF-ARX models[J]. Applied Soft Computing, 2022, 121, 108723.
Authors:  Chen, Qiong Ying;  Chen, Long;  Su, Jian Nan;  Fu, Ming Jian;  Chen, Guang Yong
Favorite | TC[WOS]:7 TC[Scopus]:9  IF:7.2/7.0 | Submit date：2022/06/10
Model Selection  Genetic Algorithms  Parameter Estimation  Rbf-arx Models  Time Series Prediction  Variable Projection  
A novel method of variable selection in data envelopment analysis with entropy measures Journal article
Deng, Qiang, Lian, Zhaotong, Fu, Qi. A novel method of variable selection in data envelopment analysis with entropy measures[J]. International Journal of Operational Research, 2021, 41(4), 514-534.
Authors:  Deng, Qiang;  Lian, Zhaotong;  Fu, Qi
Favorite | TC[Scopus]:2 | Submit date：2022/05/13
Aic  Akaike Information Criteria  Data Envelopment Analysis  Entropy Theory  Variable Selection  
Term Selection for a Class of Separable Nonlinear Models Journal article
Min Gan, Guang-Yong Chen, Long Chen, C. L. Philip Chen. Term Selection for a Class of Separable Nonlinear Models[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(2), 445-451.
Authors:  Min Gan;  Guang-Yong Chen;  Long Chen;  C. L. Philip Chen
Favorite | TC[WOS]:70 TC[Scopus]:71  IF:10.2/10.4 | Submit date：2021/03/09
Least Absolute Shrinkage And Selection Operator (Lasso)  Separable Nonlinear Models  Sparse Solution  Variable Projection (Vp)  
Sparse Bayesian Variable Selection with Correlation Prior for Forecasting Macroeconomic Variable using Highly Correlated Predictors Journal article
Aijun Yang, Ju Xiang, Lianjie Shu, Hongqiang Yang. Sparse Bayesian Variable Selection with Correlation Prior for Forecasting Macroeconomic Variable using Highly Correlated Predictors[J]. COMPUTATIONAL ECONOMICS, 2018, 51(2), 323-338.
Authors:  Aijun Yang;  Ju Xiang;  Lianjie Shu;  Hongqiang Yang
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:1.9/1.8 | Submit date：2018/10/30
Sparse Bayesian Variable Selection  Correlation Prior  Highly Correlated Predictors  Out-of-sample Forecasting  
Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis Journal article
Aijun Yang, Xuejun Jiang, Lianjie Shu, Jinguan Lin. Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis[J]. COMPUTATIONAL STATISTICS, 2017, 32(1), 127-143.
Authors:  Aijun Yang;  Xuejun Jiang;  Lianjie Shu;  Jinguan Lin
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:1.0/1.3 | Submit date：2018/10/30
Bayesian Variable Selection  Sparse Prior  Correlation Prior  Probit Model  High-dimensional Data Classification  
Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians Journal article
Yu, P. L. H., Lee, P. H., Cheung, S. F., Lau, E. Y. Y., Mok, S. Y., Hui, C. H.. Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians[J]. Computational Statistics, 2016, 31, 799-827.
Authors:  Yu, P. L. H.;  Lee, P. H.;  Cheung, S. F.;  Lau, E. Y. Y.;  Mok, S. Y.; et al.
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:1.0/1.3 | Submit date：2022/05/04
Binary Data  Decision Tree  Multinomial Data  Ranking Data  Variable Selection  
Regularized estimation for the least absolute relative error models with a diverging number of covariates Journal article
Xia X., Liu Z., Yang H.. Regularized estimation for the least absolute relative error models with a diverging number of covariates[J]. Computational Statistics and Data Analysis, 2016, 96, 104-119.
Authors:  Xia X.;  Liu Z.;  Yang H.
Favorite | TC[WOS]:17 TC[Scopus]:17 | Submit date：2019/02/14
Diverging Number Of Covariates  Least Absolute Relative Error  Least Squares Approximation  Oracle Properties  Variable Selection