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

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Keywords
KRIGING MODEL, DESIGN, OPTIMIZATION, OUTPUT, Surrogate model, Multi-fidelity, Multi-output Gaussian process, Computationally expensive problems

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MLA
Lin, Quan, et al. “Multi-Output Gaussian Process Prediction for Computationally Expensive Problems with Multiple Levels of Fidelity.” KNOWLEDGE-BASED SYSTEMS, vol. 227, 2021, doi:10.1016/j.knosys.2021.107151.
APA
Lin, Q., Hu, J., Zhou, Q., Cheng, Y., Hu, Z., Couckuyt, I., & Dhaene, T. (2021). Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity. KNOWLEDGE-BASED SYSTEMS, 227. https://doi.org/10.1016/j.knosys.2021.107151
Chicago author-date
Lin, Quan, Jiexiang Hu, Qi Zhou, Yuansheng Cheng, Zhen Hu, Ivo Couckuyt, and Tom Dhaene. 2021. “Multi-Output Gaussian Process Prediction for Computationally Expensive Problems with Multiple Levels of Fidelity.” KNOWLEDGE-BASED SYSTEMS 227. https://doi.org/10.1016/j.knosys.2021.107151.
Chicago author-date (all authors)
Lin, Quan, Jiexiang Hu, Qi Zhou, Yuansheng Cheng, Zhen Hu, Ivo Couckuyt, and Tom Dhaene. 2021. “Multi-Output Gaussian Process Prediction for Computationally Expensive Problems with Multiple Levels of Fidelity.” KNOWLEDGE-BASED SYSTEMS 227. doi:10.1016/j.knosys.2021.107151.
Vancouver
1.
Lin Q, Hu J, Zhou Q, Cheng Y, Hu Z, Couckuyt I, et al. Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity. KNOWLEDGE-BASED SYSTEMS. 2021;227.
IEEE
[1]
Q. Lin et al., “Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity,” KNOWLEDGE-BASED SYSTEMS, vol. 227, 2021.
@article{8719691,
  articleno    = {{107151}},
  author       = {{Lin, Quan and Hu, Jiexiang and Zhou, Qi and Cheng, Yuansheng and Hu, Zhen and Couckuyt, Ivo and Dhaene, Tom}},
  issn         = {{0950-7051}},
  journal      = {{KNOWLEDGE-BASED SYSTEMS}},
  keywords     = {{KRIGING MODEL,DESIGN,OPTIMIZATION,OUTPUT,Surrogate model,Multi-fidelity,Multi-output Gaussian process,Computationally expensive problems}},
  language     = {{eng}},
  pages        = {{16}},
  title        = {{Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity}},
  url          = {{http://dx.doi.org/10.1016/j.knosys.2021.107151}},
  volume       = {{227}},
  year         = {{2021}},
}

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