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Causal Graphical Models with Latent Variables: Learning and Inference.

, , , and . Innovations in Bayesian Networks, volume 156 of Studies in Computational Intelligence, Springer, (2008)

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Bayesian Network-Based Approaches for Severe Attack Prediction and Handling IDSs' Reliability., and . IPMU (2), volume 81 of Communications in Computer and Information Science, page 632-642. Springer, (2010)A Personalized Recommender System from Probabilistic Relational Model and Users' Preferences., and . KES, volume 35 of Procedia Computer Science, page 1063-1072. Elsevier, (2014)Possibilistic Networks: Parameters Learning from Imprecise Data and Evaluation strategy., , and . CoRR, (2016)A Probabilistic Semantics for Cognitive Maps., , , , , and . ICAART (Revised Selected Papers), volume 8946 of Lecture Notes in Computer Science, page 151-169. Springer, (2014)A Probabilistic Relational Model Approach for Fault Tree Modeling., and . IEA/AIE (2), volume 10351 of Lecture Notes in Computer Science, page 154-162. Springer, (2017)On the equivalence between regularized NMF and similarity-augmented graph partitioning., , and . ESANN, (2015)Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space., and . ECSQARU, volume 6717 of Lecture Notes in Computer Science, page 229-238. Springer, (2011)Qualitative Probabilistic Relational Models., and . SUM, volume 11142 of Lecture Notes in Computer Science, page 276-289. Springer, (2018)Modeling Genetical Data with Forests of Latent Trees for Applications in Association Genetics at a Large Scale - Which Clustering Method should Be Chosen?., , and . BIOINFORMATICS, page 5-16. SciTePress, (2015)Réseaux bayésiens pour la classification Méthodologie et illustration dans le cadre du diagnostic médical., and . Rev. d'Intelligence Artif., 18 (2): 169-193 (2004)