| dc.contributor.author | Couso Blanco, Inés | |
| dc.contributor.author | Sánchez Ramos, Luciano | |
| dc.date.accessioned | 2017-02-01T07:40:08Z | |
| dc.date.available | 2017-02-01T07:40:08Z | |
| dc.date.issued | 2016 | |
| dc.identifier.citation | Information Sciences, 358-359, p. 129-150 (2016); doi:10.1016/j.ins.2016.04.016 | |
| dc.identifier.issn | 0020-0255 | |
| dc.identifier.uri | http://hdl.handle.net/10651/39688 | |
| dc.description.sponsorship | The authors are grateful to two anonymous reviewers for their helpful comments. This work has been partially supported by the Spanish Ministry of Science and Innovation (MICINN) and the Regional Ministry of the Principality of Asturias under Grants TIN2014-56967-R and FC-15-GRUPIN14-073. | |
| dc.format.extent | p. 129-150 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Information Sciences | |
| dc.rights | © 2016 Elsevier Inc. | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84968572895&partnerID=40&md5=38d2ac3e0c5e4002f78865a67ce6675f | |
| dc.title | Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1016/j.ins.2016.04.016 | |
| dc.relation.projectID | TIN2014-56967-R | |
| dc.relation.projectID | FC-15-GRUPIN14-073 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1016/j.ins.2016.04.016 | |
