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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
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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
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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