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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