A flexible transfer learning framework for Bayesian optimization with convergence guarantee

Theckel Joy, Tinu, Rana, Santu, Gupta, Sunil and Venkatesh, Svetha 2019, A flexible transfer learning framework for Bayesian optimization with convergence guarantee, Expert systems with applications, vol. 115, pp. 656-672, doi: 10.1016/j.eswa.2018.08.023.

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Title A flexible transfer learning framework for Bayesian optimization with convergence guarantee
Author(s) Theckel Joy, Tinu
Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Journal name Expert systems with applications
Volume number 115
Start page 656
End page 672
Total pages 17
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-01
ISSN 0957-4174
Keyword(s) Bayesian optimization
Transfer learning
Gaussian process
Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Operations Research & Management Science
Computer Science
Engineering
Language eng
DOI 10.1016/j.eswa.2018.08.023
Field of Research 01 Mathematical Sciences
08 Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Grant ID ARC Laureate FL170100006
Copyright notice ©2018, Elsevier Ltd.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30114073

Document type: Journal Article
Collection: Centre for Pattern Recognition and Data Analytics
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