Supermodeling by combining imperfect models

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dc.bibliographicCitation.firstPage261eng
dc.bibliographicCitation.journalTitleProcedia Computer Scienceeng
dc.bibliographicCitation.volume7eng
dc.contributor.authorSelten, F.M.
dc.contributor.authorDuane, G.S.
dc.contributor.authorWiegerinck, W.
dc.contributor.authorKeenlyside, N.
dc.contributor.authorKurths, J.
dc.contributor.authorKocarev, L.
dc.date.accessioned2020-08-03T06:36:56Z
dc.date.available2020-08-03T06:36:56Z
dc.date.issued2011
dc.description.abstractSUMO (Supermodeling by combining imperfect models) is a three-year project funded under FET Open program with a starting date October, 1, 2010. We review some basic facts and findings of the SUMO project.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://doi.org/10.34657/3998
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/5369
dc.language.isoengeng
dc.publisherAmsterdam : Elsevier B.V.eng
dc.relation.doihttps://doi.org/10.1016/j.procs.2011.09.025
dc.relation.issn1877-0509
dc.rights.licenseCC BY-NC-ND 3.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/eng
dc.subject.ddc004eng
dc.subject.otherClimate scienceeng
dc.subject.otherMachine learningeng
dc.subject.otherNonlinear dynamicseng
dc.subject.otherClimate scienceeng
dc.subject.otherMachine-learningeng
dc.subject.otherNon-linear dynamicseng
dc.subject.otherMESFET deviceseng
dc.subject.otherClimate modelseng
dc.titleSupermodeling by combining imperfect modelseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorPIKeng
wgl.subjectInformatikeng
wgl.typeZeitschriftenartikeleng
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