322. Finetuning hyper-parameters increases the prediction accuracy in single-step genetic evaluation

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Publisher:: Wageningen Academic Publishers
Publication Type:: Conference Proceeding
Citation:: Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2022, pp. 1352-1355
Issue Date:: 2022-12-31

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Field	Value	Language
dc.date.accessioned	2023-05-04T00:12:35Z
dc.date.available	2023-05-04T00:12:35Z
dc.date.issued	2022-12-31
dc.identifier.citation	Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP), 2022, pp. 1352-1355
dc.identifier.uri	http://hdl.handle.net/10453/170186
dc.language	en
dc.publisher	Wageningen Academic Publishers
dc.relation.ispartof	Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
dc.relation.ispartof	Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
dc.relation.isbasedon	10.3920/978-90-8686-940-4_322
dc.rights	info:eu-repo/semantics/openAccess
dc.title	322. Finetuning hyper-parameters increases the prediction accuracy in single-step genetic evaluation
dc.type	Conference Proceeding
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	*
dc.date.updated	2023-05-04T00:12:34Z
pubs.publication-status	Published

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