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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 | View/Download：28/0 | 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 | 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 | 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 | 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 | 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.
Favorite | 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)