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A general framework for maximizing likelihood under incomplete data
| dc.contributor.author | Couso Blanco, Inés | |
| dc.contributor.author | Dubois, D. | |
| dc.date.accessioned | 2018-02-28T10:40:54Z | |
| dc.date.available | 2018-02-28T10:40:54Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | International Journal of Approximate Reasoning, 93, p. 238-260 (2018); doi:10.1016/j.ijar.2017.10.030 | |
| dc.identifier.issn | 0888-613X | |
| dc.identifier.uri | http://hdl.handle.net/10651/46075 | |
| dc.description.sponsorship | This 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.extent | p. 238-260 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | International Journal of Approximate Reasoning, 93 | |
| dc.rights | © 2017 Elsevier Inc. | |
| dc.rights | CC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034645864&doi=10.1016%2fj.ijar.2017.10.030&partnerID=40&md5=80dfeee096d9d1f272e2d89f91e546aa | |
| dc.title | A general framework for maximizing likelihood under incomplete data | eng |
| dc.type | journal article | |
| dc.identifier.doi | 10.1016/j.ijar.2017.10.030 | |
| dc.relation.projectID | MINECO/TIN2014-56967-R | |
| dc.relation.projectID | MINECO/TIN2017-84804-R | |
| dc.relation.projectID | FC-15-GRUPIN14-073 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1016/j.ijar.2017.10.030 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | AM |
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