Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity-Reference-Cited by-同舟云学术

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Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity

Published:2021-09 Issue: Volume:227 Page:107151
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Lin Quan,Hu Jiexiang,Zhou Qi^ORCID,Cheng Yuansheng,Hu Zhen,Couckuyt Ivo,Dhaene Tom

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference43 articles.

1. Optimization of expensive black-box problems via Gradient-enhanced Kriging;Chen;Comput. Methods Appl. Mech. Engrg.,2020

2. Gaussian Processes for Machine Learning, Vol. 2;Williams,2006

3. Design and analysis of computer experiments;Sacks;Statist. Sci.,1989

4. Mining Geostatistics, Vol. 600;Journel,1978

5. Geostatistics for Natural Resources Evaluation;Goovaerts,1997

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