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Mapping Ontology with Probabilistic Relational Models., , , and . KEOD, page 171-178. SciTePress, (2015)On-Line Learning of Multi-Valued Decision Diagrams., and . FLAIRS Conference, page 576-580. AAAI Press, (2015)Improving Decision Diagrams for Decision Theoretic Planning., and . FLAIRS Conference, AAAI Press, (2013)Improving Probabilistic Rules Compilation using PRM., , , , and . RuleML+RR (Supplement), volume 2204 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Inférence incrémentale pour les modèles., , , and . Rev. d'Intelligence Artif., 32 (1): 111-132 (2018)Expert knowledge integration to model complex food processes. Application on the camembert cheese ripening process., , , , and . Expert Syst. Appl., 38 (9): 11804-11812 (2011)Réseaux Probabilistes Orientés Objet., and . LMO, page 123-138. Hermès, (2000)Uncertain Reasoning for Business Rules., , , and . Challenge+DC@RuleML, volume 1211 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)A Dynamic Bayesian Network to Represent a Ripening Process of a Soft Mould Cheese., , , and . KES (2), volume 5178 of Lecture Notes in Computer Science, page 265-272. Springer, (2008)Business Rules Uncertainty Management with Probabilistic Relational Models., , , and . RuleML, volume 9718 of Lecture Notes in Computer Science, page 53-67. Springer, (2016)