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Learning Decision Trees from Uncertain Data with an Evidential EM Approach.

, , and . ICMLA (1), page 111-116. IEEE, (2013)

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Bayesian Smoothing of Decision Tree Soft Predictions and Evidential Evaluation.. IPMU (2), volume 1238 of Communications in Computer and Information Science, page 368-381. Springer, (2020)Application of E 2 M Decision Trees to Rubber Quality Prediction., , and . IPMU (1), volume 442 of Communications in Computer and Information Science, page 107-116. Springer, (2014)The AffectMove Challenge: some machine learning approaches., , , , and . ACII (Workshops and Demos), page 1-5. IEEE, (2021)Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches., , , and . Inf. Process. Manag., 58 (6): 102721 (2021)Post-hoc recommendation explanations through an efficient exploitation of the DBpedia category hierarchy., , , and . Knowl. Based Syst., (2022)On the evaluation of retrofitting for supervised short-text classification., , , , and . JOWO, volume 2708 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Evidential Filtering and Spatio-Temporal Gradient for Micro-movements Analysis in the Context of Bedsores Prevention., , , , , and . BELIEF, volume 13506 of Lecture Notes in Computer Science, page 297-306. Springer, (2022)Apports des ontologies aux systèmes de recommandation : état de l'art et perspectives., , , and . IC, page 64-77. (2019)Filtrage crédibiliste et gradient spatio-temporel pour l'analyse des micro-mouvements dans le cadre de la prévention des escarres., , , , , and . LFA, Cépaduès, (2022)Learning Decision Trees from Uncertain Data with an Evidential EM Approach., , and . ICMLA (1), page 111-116. IEEE, (2013)