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A general framework for maximizing likelihood under incomplete data

dc.contributor.authorCouso Blanco, Inés 
dc.contributor.authorDubois, D.
dc.date.accessioned2018-02-28T10:40:54Z
dc.date.available2018-02-28T10:40:54Z
dc.date.issued2018
dc.identifier.citationInternational Journal of Approximate Reasoning, 93, p. 238-260 (2018); doi:10.1016/j.ijar.2017.10.030
dc.identifier.issn0888-613X
dc.identifier.urihttp://hdl.handle.net/10651/46075
dc.description.sponsorshipThis work is partially supported by ANR-11-LABX-0040-CIMI within the program ANR-11-IDEX-0002-02, by the Spanish Ministry of Economy, In-dustry and Competitivity (projects TIN2014-56967-R and TIN2017-84804-R) and by the Regional Ministry of the Principality of Asturias (under project FC-15-GRUPIN14-073).
dc.format.extentp. 238-260
dc.language.isoeng
dc.relation.ispartofInternational Journal of Approximate Reasoning, 93
dc.rights© 2017 Elsevier Inc.
dc.rightsCC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85034645864&doi=10.1016%2fj.ijar.2017.10.030&partnerID=40&md5=80dfeee096d9d1f272e2d89f91e546aa
dc.titleA general framework for maximizing likelihood under incomplete dataeng
dc.typejournal article
dc.identifier.doi10.1016/j.ijar.2017.10.030
dc.relation.projectIDMINECO/TIN2014-56967-R
dc.relation.projectIDMINECO/TIN2017-84804-R
dc.relation.projectIDFC-15-GRUPIN14-073
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.ijar.2017.10.030
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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