Performance assessment of a cross-validation sampling strategy with active surrogate model selection-Reference-Cited by-同舟云学术

Performance assessment of a cross-validation sampling strategy with active surrogate model selection

Published:2019-01-17 Issue:6 Volume:59 Page:2257-2272
ISSN:1615-147X
Container-title:Structural and Multidisciplinary Optimization
language:en
Short-container-title:Struct Multidisc Optim

Author:

Garbo Andrea^ORCID,German Brian J.

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Link

http://link.springer.com/article/10.1007/s00158-018-02190-7/fulltext.html

Reference47 articles.

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4. Crombecq K, Gorissen D, Deschrijver D, Dhaene T (2011) A novel hybrid sequential design strategy for global surrogate modeling of computer experiments. SIAM J Sci Comput 33(4):1948–1974

5. Duvenaud D (2014) Automatic model construction with gaussian processes. PhD thesis, University of Cambridge, UK

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