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AMIDST: A Java toolbox for scalable probabilistic machine learning

dc.contributor.authorMasegosa, Andres
dc.contributor.authorMartinez, Ana M.
dc.contributor.authorRamos-López, Dario
dc.contributor.authorCabañas, Rafael
dc.contributor.authorSalmeron, Antonio
dc.contributor.authorLangseth, Helge
dc.contributor.authorNielsen, Thomas D.
dc.date.accessioned2022-02-22T07:39:43Z
dc.date.available2022-02-22T07:39:43Z
dc.date.created2020-11-04T10:35:34Z
dc.date.issued2019
dc.identifier.citationKnowledge-Based Systems. 2019, 163 595-597.en_US
dc.identifier.issn0950-7051
dc.identifier.urihttps://hdl.handle.net/11250/2980666
dc.language.isoengen_US
dc.titleAMIDST: A Java toolbox for scalable probabilistic machine learningen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holderElsevieren_US
dc.source.pagenumber595-597en_US
dc.source.volume163en_US
dc.source.journalKnowledge-Based Systemsen_US
dc.identifier.doidoi.org/10.1016/j.knosys.2018.09.019
dc.identifier.cristin1844801
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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