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Predicting ground-level ozone concentrations by adaptive Bayesian model averaging of statistical seasonal models
Journal article
Stochastic Environmental Research and Risk Assessment, 2018,Volume: 32,Issue: 5,Page: 1283-1297
Authors:
Mok, K. M.
;
Yuen, K. V.
;
Hoi, K. I.
;
Chao, K. M.
;
Lopes, D.
Favorite
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View/Download:28/0
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TC[WOS]:
5
TC[Scopus]:
7
|
Submit date:2018/10/30
Adaptive Bayesian Model Averaging
Kalman Filter
Model Switching
Ozone Prediction
Statistical Model
Random-effects models for meta-analytic structural equation modeling: review, issues, and illustrations
Journal article
Research Synthesis Methods, 2016,Volume: 7,Issue: 2,Page: 140-155
Authors:
Cheung,Mike W.L.
;
Cheung,Shu Fai
Favorite
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View/Download:18/0
|
TC[WOS]:
41
TC[Scopus]:
36
|
Submit date:2019/06/25
Meta-analysis
Meta-analytic Structural Equation Model
r Statistical Platform
Random-effects Model
Structural Equation Model
iCPE: A hybrid data selection model for SMT domain adaptation
Conference paper
CCL 2013: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, Suzhou, China, 10-12 October 2013
Authors:
Wang L.
;
Wong D.F.
;
Chao L.S.
;
Lu Y.
;
Xing J.
Favorite
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View/Download:9/0
|
TC[WOS]:
0
TC[Scopus]:
1
|
Submit date:2018/12/24
Data Selection
Domain Adaptation
Hybrid Model
Similarity Metrics
Statistical Machine Translation
Korean-Chinese statistical translation model
Conference paper
Proceedings -2012 International Conference on Machine Learning and Cybernetics, Xian, China, 26 November 2012
Authors:
Li S.
;
Wong D.F.
;
Chao L.S.
Favorite
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View/Download:18/0
|
TC[WOS]:
0
TC[Scopus]:
2
|
Submit date:2018/12/24
Factored Translation Model
Korean-chinese
Statistical Machine Translation
Iterative Probabilistic Approach for Selection of TimeVarying Model Classes
Conference paper
Procedia Engineering, Hong Kong, JAN 26-28, 2011
Authors:
Hoi K.I.
;
Yuen K.V.
;
Mok K.M.
Favorite
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View/Download:7/0
|
TC[WOS]:
1
TC[Scopus]:
1
|
Submit date:2019/02/12
Bayesian
Kalman Filter
Model Class Selection
Statistical Model
Research of predicting machine's remaining useful life based on statistical pattern recognition and auto-regressive and moving average model
Journal article
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2011,Volume: 45,Issue: 7,Page: 1000-1005
Authors:
Liao W.-Z.
;
Pan E.-S.
;
Wang Y.
;
Xi L.-F.
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View/Download:4/0
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2019/01/16
Auto-regressive and moving average (ARMA) model
Health index (HI)
Prediction
Remaining useful life (RUL)
Statistical pattern recognition (SPR)