Performance study of multi-fidelity gradient enhanced kriging
By Selvakumar Ulaganathan, Ivo Couckuyt, Francesco Ferranti, Eric Laermans, Tom D'haene. 2015
68 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/04ef0bf743ed70d48bdbfb86cc814d82bdc83e3d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Yew-Soon Ong
- Jianfei Cai
- Haitao Liu
- Yaochu Jin
- Ferrante Neri
- Abhishek Gupta
- Carlos Cotta
- Ponnuthurai Nagaratnam Suganthan
In Computational Theory and Mathematics
- Jianfei Cai
- Haitao Liu
- Yew-Soon Ong
- Ferrante Neri
- Yaochu Jin
- Carlos Cotta
- Abhishek Gupta
- Ponnuthurai Nagaratnam Suganthan
In Management Science and Operations Research
Citations in the corpus
- Remarks on multi-output Gaussian process regression (2018, methodology): “In order to improve the prediction quality, some works [27, 78] attempted to utilize the gradient information in the context of CoKG.”