Exploiting experts knowledge for structure learning of bayesian networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, issue.11, pp.2154-2170, 2017. ,
Integrating ontological knowledge for iterative causal discovery and visualization, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pp.168-179, 2009. ,
Optimal structure identification with greedy search, J. Mach. Learn. Res, vol.3, pp.507-554, 2003. ,
A bayesian method for the induction of probabilistic networks from data, Machine Learning, vol.9, issue.4, pp.309-347, 1992. ,
Improving bayesian network parameter learning using constraints, 19th International Conference on Pattern Recognition, pp.1-4, 2008. ,
Structure learning of bayesian networks using constraints, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pp.113-120, 2009. ,
Learning probabilistic relational models, Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI 99, pp.1300-1309, 1450. ,
Two optimal strategies for active learning of causal models from interventional data, Int. J. Approx. Reasoning, vol.55, pp.926-939, 2014. ,
Bayesian model averaging and model selection for markov equivalence classes of acyclic digraphs, Communications in Statistics-Theory and Methods, vol.25, issue.11, pp.2493-2519, 1996. ,
Learning probabilistic relational models using an ontology of transformation processes, On the Move to Meaningful Internet Systems. OTM 2017 Conferences, pp.198-215, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01718783
Finding optimal bayesian networks using precedence constraints, Journal of Machine Learning Research, vol.14, pp.1387-1415, 2013. ,
Causality: Models, Reasoning and Inference, 2009. ,
Causation, Prediction, and Search, 2000. ,
Reinforcing the Object-Oriented Aspect of Probabilistic Relational Models, PGM 2010 -The Fifth European Workshop on Probabilistic Graphical Models, pp.273-280, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00627823
Learning causal networks with latent variables from multivariate information in genomic data, PLOS Computational Biology, vol.13, issue.10, p.1005662, 2017. ,