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Bayesian optimization for adaptive experimental design: a review

Greenhill, Stewart, Rana, Santu, Gupta, Sunil, Vellanki, Pratibha and Venkatesh, Svetha 2020, Bayesian optimization for adaptive experimental design: a review, IEEE access, vol. 8, pp. 13937-13948, doi: 10.1109/ACCESS.2020.2966228.

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Title Bayesian optimization for adaptive experimental design: a review
Author(s) Greenhill, StewartORCID iD for Greenhill, Stewart orcid.org/0000-0002-7585-9632
Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Vellanki, Pratibha
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Journal name IEEE access
Volume number 8
Start page 13937
End page 13948
Total pages 12
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 2169-3536
2169-3536
Language eng
DOI 10.1109/ACCESS.2020.2966228
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30135606

Document type: Journal Article
Collections: Open Access Collection
A2I2 (Applied Artificial Intelligence Institute)
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Created: Mon, 16 Mar 2020, 07:30:12 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.