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dc.contributor.authorNúñez Esquer, Gustavo
dc.contributor.authorCortés García, Claudio Ulises
dc.date.accessioned2020-06-09T17:02:11Z
dc.date.available2020-06-09T17:02:11Z
dc.date.issued1989
dc.identifier.citationNuñez, G.; Cortés, U. "Some circumscriptional thoughts on SBL". 1989.
dc.identifier.urihttp://hdl.handle.net/2117/190354
dc.description.abstractWe illustrate how some of the Similitude Based Learning (SBL) paradigms can be reformulated using some logical formalisms as circumscription, predicate completion and the close world assumption. Our approach shows that is possible to use these logical tools in order to obtain a formal unified vision of SBL paradigms, and it also suggests some kind of improvements on the current implementations. We introduce a hitherto unmentioned direct link between machine learning and circumscription. We believe that this new framework and the obtained results are of practical interest.
dc.format.extent19 p.
dc.language.isoeng
dc.relation.ispartofseriesLSI-89-20
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshMachine learning
dc.subject.otherSimilitude Based Learning
dc.titleSome circumscriptional thoughts on SBL
dc.typeExternal research report
dc.subject.lemacAprenentatge automàtic
dc.rights.accessOpen Access
local.identifier.drac28643186
dc.description.versionPostprint (published version)
local.citation.authorNuñez, G.; Cortés, U.


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