High-dimensional probability density estimation with randomized ensembles of tree structured bayesian networks, Proceedings of the fourth European Workshop on Probabilistic Graphical Models (PGM08), pp.9-16, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00412288
Probability density estimation by perturbing and combining tree structured markov networks, Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pp.156-167, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00412883
Sub-quadratic markov tree mixture learning based on randomizations of the chow-liu algorithm, the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010), pp.17-25, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00568028
Sub-quadratic markov tree mixture models for probability density estimation, 19th International Conference on Computational Statistics (COMPSTAT 2010), pp.673-680, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00487353
On the construction of the inclusion boundary neighbourhood for markov equivalence classes of bayesian network structures, Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence (UAI-02), pp.26-35, 2002. ,
Model averaging for structure learning in bayesian networks: an experimental study, 2008. ,
Learning bayesian networks is NPhard, 1994. ,
Optimal structure identification with greedy search, Journal of Machine Learning Research, vol.3, pp.507-554, 2003. ,
Approximating discrete probability distributions with dependence trees, IEEE Transactions on Information Theory, vol.14, issue.3, pp.462-467, 1968. ,
A bayesian method for the induction of probabilistic networks from data, Machine Learning, vol.9, pp.309-347, 1992. ,
Learning bayesian network structure from massive datasets: The "sparse candidate" algorithm, Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI), pp.206-215, 1999. ,
Generating random bayesian networks with constraints on induced width, ECAI, pp.323-327, 2004. ,
A novel markov boundary based feature subset selection algorithm, Neurocomputing, vol.73, pp.578-584, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00383776
Summarizing and visualizing a set of bayesian networks with quasi essential graphs, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00645005
Fusion, propagation, and structuring in belief networks, Artificial Intelligence, vol.29, pp.241-288, 1986. ,
KR'91: Principles of Knowledge Representation and Reasoning, pp.441-452, 1991. ,
Measures of Variability for Graphical Models, 2011. ,
Causation, prediction, and search, 1993. ,
Algorithms for large scale markov blanket discovery, The 16th International FLAIRS Conference, pp.376-380, 2003. ,
Time and sample efficient discovery of markov blankets and direct causal relations, Proceedings of the 9th CAN SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.673-678, 2003. ,
The max-min hill-climbing bayesian network structure learning algorithm, Machine Learning, vol.65, pp.31-78, 2006. ,
Permutation testing improves bayesian network learning, Machine Learning and Knowledge Discovery in Databases, vol.6323, pp.322-337, 2010. ,