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Liu, Haitao
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Showing results 3 to 9 of 9
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Issue Date
Title
Author(s)
2018
Fast transfer Gaussian process regression with large-scale sources
Da, Bingshui
;
Ong, Yew-Soon
;
Gupta, Abhishek
;
Feng, Liang
;
Liu, Haitao
2020
Large-scale heteroscedastic regression via Gaussian process
Liu, Haitao
;
Ong, Yew-Soon
;
Cai, Jianfei
2021
Modulating scalable Gaussian processes for expressive statistical learning
Liu, Haitao
;
Ong, Yew-Soon
;
Jiang, Xiaomo
;
Wang, Xiaofang
2018
Remarks on multi-output Gaussian process regression
Liu, Haitao
;
Cai, Jianfei
;
Ong, Yew-Soon
2017
A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design
Liu, Haitao
;
Ong, Yew-Soon
;
Cai, Jianfei
2018
Understanding and comparing scalable Gaussian process regression for big data
Liu, Haitao
;
Cai, Jianfei
;
Ong, Yew-Soon
;
Wang, Yi
2020
When Gaussian process meets big data : a review of scalable GPs
Liu, Haitao
;
Ong, Yew-Soon
;
Shen, Xiaobo
;
Cai, Jianfei