How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches ?

Li, Z Fang, Z Feng, L Jie, L Bo, Y Guangquan, Z Fang, Z

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Field	Value	Language
dc.contributor.author	Li, Z
dc.contributor.author	Fang, Z
dc.contributor.author	Feng, L
dc.contributor.author	Jie, L
dc.contributor.author	Bo, Y
dc.contributor.author	Guangquan, Z
dc.contributor.author	Fang, Z
dc.date	2021-02-02
dc.date.accessioned	2021-08-09T05:03:51Z
dc.date.available	2021-08-09T05:03:51Z
dc.date.issued	2021-02-10
dc.identifier.citation	2021
dc.identifier.uri	http://hdl.handle.net/10453/150077
dc.language	en
dc.relation.ispartof	Association for the Advancement of Artificial Intelligence (AAAI)
dc.rights	info:eu-repo/semantics/openAccess
dc.title	How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches ?
dc.type	Conference Proceeding
utslib.location.activity	On Line
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-08-09T05:03:50Z
pubs.finish-date	2021-02-09
pubs.publication-status	Published
pubs.start-date	2021-02-02

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