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An efficient computation of dempster-shafer theory of evidence based on native GPU implementation

dc.contributor.authorRico Pachón, Noelia 
dc.contributor.authorTroiano, L.
dc.contributor.authorDíaz Fernández, Irene 
dc.date.accessioned2022-03-11T07:29:45Z
dc.date.available2022-03-11T07:29:45Z
dc.date.issued2021
dc.identifier.citationRico Pachón, N., Troiano, L., Díaz Fernández, I. (2021). An efficient computation of dempster-shafer theory of evidence based on native gpu implementation. En T. Denœux, E. Lefèvre, Z. Liu, F. Pichon (eds). Belief functions: theory and applications. BELIEF 2021. (pp. 291-299). Cham : Springer.
dc.identifier.isbn9783030886004
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10651/62207
dc.descriptionInternational Conference on Belief Functions, BELIEF 2021 (6th. 2021. Shanghai)
dc.format.extentp. 291-299
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofBelief Functions: Theory and Applications. 6th International Conference, BELIEF 2021, Shanghai, China, October 15–19, 2021, Proceedings
dc.relation.ispartofseriesLecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics); v. 12915
dc.rights© 2021 Springer Nature Switzerland AG
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85118145085&doi=10.1007%2f978-3-030-88601-1_29&partnerID=40&md5=6dfc3fe743e3328f8aacc9ced56cdc95
dc.titleAn efficient computation of dempster-shafer theory of evidence based on native GPU implementation
dc.typeconference outputspa
dc.identifier.doi10.1007/978-3-030-88601-1_29
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-030-88601-1_29


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