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Comments on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization" by Eyke Hüllermeier

dc.contributor.authorSánchez Ramos, Luciano 
dc.date.accessioned2014-07-31T09:38:40Z
dc.date.available2014-07-31T09:38:40Z
dc.date.issued2014
dc.identifier.citationInternational Journal of Approximate Reasoning (2014); doi:10.1016/j.ijar.2014.04.008
dc.identifier.issn0888-613X
dc.identifier.issn1873-4731
dc.identifier.urihttp://hdl.handle.net/10651/28087
dc.description.sponsorshipThis work was supported by the Spanish Ministerio de Economía y Competitividad under ProjectTIN2011-24302,including funding from the European Regional Development Fund.
dc.format.extentp.1583-1587
dc.language.isoeng
dc.relation.ispartofInternational Journal of Approximate Reasoning
dc.rights© 2014 Elsevier Inc.All rights reserved.
dc.sourceScopus
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-84898719673&partnerID=40&md5=b515a738c84ce09fc36d1fcfefb2e22f
dc.titleComments on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization" by Eyke Hüllermeier
dc.typejournal article
dc.identifier.local20141910
dc.identifier.doi10.1016/j.ijar.2014.04.008
dc.relation.projectIDMINECO/TIN2011-24302
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.ijar.2014.04.008


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