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Sparse bayesian kernel multinomial probit regression model for high-dimensional data classification Journal article
Communications in Statistics - Theory and Methods, 2019,Volume: 48,Issue: 1,Page: 165-176
Authors:  Aijun Yang;  Xuejun Jiang;  Lianjie Shu;  Pengfei Liu
Favorite | View/Download：12/0 | TC[WOS]:1 TC[Scopus]:1 | Submit date：2019/08/01
Correlation Prior  High-dimensional Data Classification  Multicategory Support Vector Machine  Sparse Bayesian Method  
A Multi-Model Combination Approach for Probabilistic Wind Power Forecasting Journal article
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019,Volume: 10,Issue: 1,Page: 226-237
Authors:  Lin, You;  Yang, Ming;  Wan, Can;  Wang, Jianhui;  Song, Yonghua
Favorite | View/Download：14/0 | TC[WOS]:18 TC[Scopus]:45 | Submit date：2019/01/17
Terms-Multi-model combination  probabilistic forecasting  wind power  uncertainty  
Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction Journal article
MEASUREMENT, 2018,Volume: 130,Page: 384-397
Authors:  Mu, He-Qing;  Yuen, Ka-Veng
Favorite | View/Download：20/0 | TC[WOS]:6 TC[Scopus]:11 | Submit date：2018/10/30
Bayesian inference  Environmental conditions  Sparse feature selection  Modal analysis  Structural health monitoring  
Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 11,Page: 5330-5344
Authors:  Luo, Lei;  Yang, Jian;  Zhang, Bob;  Jiang, Jielin;  Huang, Heng
Favorite | View/Download：27/0 | TC[WOS]:5 TC[Scopus]:10 | Submit date：2019/01/17
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 11,Page: 5330-5344
Authors:  Luo L.;  Yang J.;  Zhang B.;  Jiang J.;  Huang H.
Favorite | View/Download：13/0 | TC[WOS]:5 TC[Scopus]:10 | Submit date：2019/04/04
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
Fault diagnosis of rotating machinery based on multiple probabilistic classifiers Journal article
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018,Volume: 108,Page: 99-114
Authors:  Zhong, Jian-Hua;  Wong, Pak Kin;  Yang, Zhi-Xin
Favorite | View/Download：32/0 | TC[WOS]:22 TC[Scopus]:37 | Submit date：2018/10/30
Rotating Machinery  Automotive Engine  Simultaneous-fault Diagnosis  Sparse Bayesian Extreme Learning Machine  Probabilistic Committee Machine  
Sparse Bayesian Variable Selection with Correlation Prior for Forecasting Macroeconomic Variable using Highly Correlated Predictors Journal article
COMPUTATIONAL ECONOMICS, 2018,Volume: 51,Issue: 2,Page: 323-338
Authors:  Aijun Yang;  Ju Xiang;  Lianjie Shu;  Hongqiang Yang
Favorite | View/Download：25/0 | TC[WOS]:1 TC[Scopus]:1 | Submit date：2018/10/30
Sparse Bayesian Variable Selection  Correlation Prior  Highly Correlated Predictors  Out-of-sample Forecasting  
Emerging Service Orchestration Discovery and Monitoring Journal article
IEEE Transactions on Services Computing, 2017,Volume: 10,Issue: 6,Page: 889-901
Authors:  Chu, Victor W.;  Wong, Raymond K.;  Fong, Simon;  Chi, Chi-Hung
Favorite | View/Download：95/0 | TC[WOS]:2 TC[Scopus]:0 | Submit date：2018/10/30
Web Services Orchestration  Topic Model  Sir Model  Data Sparsity Problem  
Correlated EEMD and effective feature extraction for both periodic and irregular faults diagnosis in rotating machinery Journal article
Energies, 2017,Volume: 10,Issue: 10
Authors:  Liang J.;  Zhong J.-H.;  Yang Z.-X.
Favorite | View/Download：14/0 | TC[WOS]:3 TC[Scopus]:5 | Submit date：2018/12/22
Acoustic Signal  Ensemble Empirical Mode Decomposition  Sample Entropy  Singular Value Decomposition  Sparse Bayesian Extreme Learning Machine  
Correlated EEMD and Effective Feature Extraction for Both Periodic and Irregular Faults Diagnosis in Rotating Machinery Journal article
ENERGIES, 2017,Volume: 10,Issue: 10
Authors:  Liang, Jiejunyi;  Zhong, Jian-Hua;  Yang, Zhi-Xin
Favorite | View/Download：27/0 | TC[WOS]:3 TC[Scopus]:5 | Submit date：2018/10/30
acoustic signal  ensemble empirical mode decomposition  sparse Bayesian extreme learning machine  sample entropy  singular value decomposition