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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]:33 TC[Scopus]:48 | Submit date:2019/01/17
Terms-Multi-model combination  probabilistic forecasting  wind power  uncertainty  
Generative multi-view and multi-feature learning for classification Journal article
INFORMATION FUSION, 2019,Volume: 45,Page: 215-226
Authors:  Li, Jinxing;  Zhang, Bob;  Lu, Guangming;  Zhang, David
Favorite | View/Download:194/0 | TC[WOS]:24 TC[Scopus]:32 | Submit date:2018/10/30
Multi-view(modal)  Multi-feature  Generative model  Bayesian model  Classification  
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:22/0 | TC[WOS]:11 TC[Scopus]:11 | Submit date:2018/10/30
Bayesian inference  Environmental conditions  Sparse feature selection  Modal analysis  Structural health monitoring  
Parameter Estimation of Gaussian Mixture Model Based on Variational Bayesian Learning Conference paper
Proceedings - International Conference on Machine Learning and Cybernetics
Authors:  Zhao L.;  Shang Z.;  Qin A.;  Tang Y.Y.
Favorite | View/Download:9/0 | TC[WOS]:0 TC[Scopus]:1 | Submit date:2019/02/11
Annealing algorithm  Gaussian mixture model  parameter estimation  tsallis-DAVBEM  variational bayes EM  
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]:7 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)  
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:28/0 | TC[WOS]:7 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)  
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:33/0 | TC[WOS]:29 TC[Scopus]:37 | Submit date:2018/10/30
Rotating Machinery  Automotive Engine  Simultaneous-fault Diagnosis  Sparse Bayesian Extreme Learning Machine  Probabilistic Committee 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:29/0 | TC[WOS]:4 TC[Scopus]:6 | Submit date:2018/10/30
acoustic signal  ensemble empirical mode decomposition  sparse Bayesian extreme learning machine  sample entropy  singular value decomposition  
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]:4 TC[Scopus]:6 | Submit date:2018/12/22
Acoustic Signal  Ensemble Empirical Mode Decomposition  Sample Entropy  Singular Value Decomposition  Sparse Bayesian Extreme Learning Machine  
Optimal calibration of variable biofuel blend dual-injection engines using sparse Bayesian extreme learning machine and metaheuristic optimization Journal article
ENERGY CONVERSION AND MANAGEMENT, 2017,Volume: 148,Page: 1170-1178
Authors:  Wong, Ka In;  Wong, Pak Kin
Favorite | View/Download:28/0 | TC[WOS]:1 TC[Scopus]:2 | Submit date:2018/10/30
Biofuels  Dual-injection  Engine Calibration  Sparse Bayesian Extreme Learning Machine  Metaheuristic Optimization  Flower Pollination Algorithm