Informative Planning for Worst-Case Error Minimisation in Sparse Gaussian Process Regression

Wakulicz, J Lee, KMB Yoo, C

Vidal-Calleja, T Fitch, R

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Field	Value	Language
dc.contributor.author	Wakulicz, J
dc.contributor.author	Lee, KMB
dc.contributor.author	Yoo, C https://orcid.org/0000-0002-2773-0527
dc.contributor.author	Vidal-Calleja, T
dc.contributor.author	Fitch, R https://orcid.org/0000-0003-2215-5188
dc.date.accessioned	2022-07-28T04:53:39Z
dc.date.available	2022-07-28T04:53:39Z
dc.date.issued	2022-03-07
dc.identifier.citation	arXiv, 2022
dc.identifier.uri	http://hdl.handle.net/10453/159293
dc.language	en
dc.relation.ispartof	arXiv
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Informative Planning for Worst-Case Error Minimisation in Sparse Gaussian Process Regression
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 - CAS - Centre for Autonomous Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2022-07-28T04:53:38Z

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