Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants

dc.contributor.author	Hüllermeier, E.
dc.contributor.author	Destercke, S.
dc.contributor.author	Couso Blanco, Inés
dc.date.accessioned	2020-06-26T07:57:10Z
dc.date.available	2020-06-26T07:57:10Z
dc.date.issued	2019
dc.identifier.isbn	9783030355135
dc.identifier.issn	0302-9743
dc.identifier.uri	http://hdl.handle.net/10651/55269
dc.description	International Conference on Scalable Uncertainty Management, SUM (13th. 2019. Compiègne, France)
dc.format.extent	p. 266-279
dc.language.iso	eng
dc.relation.ispartof	Scalable Uncertainty Management
dc.relation.ispartofseries	Lecture Notes in Computer Science
dc.rights	© Springer Nature Switzerland AG 2019
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078430870&doi=10.1007%2f978-3-030-35514-2_20&partnerID=40&md5=99a500b7dd34afaea4411b0d56892941
dc.title	Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-030-35514-2_20
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-030-35514-2_20

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