On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning

Kedziora, DJ Nguyen, T-D Musial, K Gabrys, B

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Field	Value	Language
dc.contributor.author	Kedziora, DJ
dc.contributor.author	Nguyen, T-D
dc.contributor.author	Musial, K
dc.contributor.author	Gabrys, B https://orcid.org/0000-0002-0790-2846
dc.date.accessioned	2023-03-08T23:19:44Z
dc.date.available	2023-03-08T23:19:44Z
dc.date.issued	2022-08-08
dc.identifier.citation	arXiv, 2022
dc.identifier.uri	http://hdl.handle.net/10453/166715
dc.language	en
dc.relation.ispartof	arXiv
dc.relation.isbasedon	10.48550/arxiv.2208.04376
dc.rights	info:eu-repo/semantics/openAccess
dc.title	On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning
dc.type	Preprint
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Centre for Health Technologies (CHT)
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-08T23:19:40Z

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