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Bayesian Network Structure Learning from Limited Datasets through Graph Evolu...
International audience -
Bayesian networks and set-based methods for differential study of gene regula...
In the recent years, the Bayesian networks (BN) have become one of the most powerful machine learning methods to modeling graphically and probabilistically different... -
Dependability of complex semiconductor systems : Learning Bayesian Networks f...
International audience -
Decision making based on the EHF integration in a complex semiconductor manuf...
International audience -
Cross-Entropic Learning of a Machine for the Decision in a Partially Observab...
Accepted in Journal of Global Optimization. http://dx.doi.org/10.1007/s10898-006-9061-9 -
Multi-point of view knowledge modelling of an industrial system and of its en...
Nowadays, the importance of the maintenance function has increased, due to the requirements on the maintain in operational conditions phase (MCO) of the... -
A unifying framework for exact and approximate Bayesian inference
We present a unifying framework for exact and approximate inference in Bayesian networks. This framework has been used to design a general purpose Bayesian inference... -
Classification and capture of regulation networks with bayesian networks in o...
In oncology, microarrays have become a classical tool to search and characterize pathologies at a deeper level than previous methods, using genetic expression to find... -
A Bayesian network-based integrated risk analysis approach for industrial sys...
International audience -
Confidence estimation of feedback information for logic diagnosis
International audience -
Evaluation of dysfunction of a system by Bayesian approach : case of railway ...
The development of railway in urban and non urban, is accompanied by recess continuous improvement of safety, which remains a primary concern in this area of... -
Which Factors Contributes to Resolving Coreference Chains with Bayesian Netwo...
International audience -
Causal Probabilistic Modeling with Bayesian Networks to Combat the Risk of Pi...
This invited paper is part of the special section on the "Role of Radio Science in Disaster Management." -
A probabilistic approach to dynamically estimate the confidence for productio...
The work that we present in this paper contributes to the field of supervision, monitoringand control of complex discrete event systems services. It is placed in the... -
Bayesian artificial intelligence for tackling uncertainty in self-adaptive sy...
International audience -
A Bayesian approach for user aware peer-to-peer video streaming systems
International audience -
Exemples d'application des réseaux Bayésiens
National audience -
Réseaux bayésiens : un nouveau formalisme de modélisation pour la sûreté de f...
ref. MAR-III-10-80,
