A Bayesian approach to abrupt concept drift
dc.contributor.author | Cano Utrera, Andrés | |
dc.contributor.author | Gómez-Olmedo, Manuel | |
dc.contributor.author | Moral Callejón, Serafín | |
dc.date.accessioned | 2021-04-12T08:08:22Z | |
dc.date.available | 2021-04-12T08:08:22Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://hdl.handle.net/10481/67903 | |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ | es_ES |
dc.subject | Concept drift | es_ES |
dc.subject | Dynamic Bayesian networks | es_ES |
dc.subject | Change detection | es_ES |
dc.subject | Propagation algorithms | es_ES |
dc.title | A Bayesian approach to abrupt concept drift | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1016/j.knosys.2019.104909 | |
dc.type.hasVersion | SMUR | es_ES |