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Possibilistic Networks: Parameters Learning from Imprecise Data and Evaluation strategy.

, , and . CoRR, (2016)

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A generic framework for a compilation-based inference in probabilistic and possibilistic networks., , and . Inf. Sci., (2014)A dynamic barriers implementation in Bayesian-based bow tie diagrams for risk analysis., and . AICCSA, page 1-8. IEEE Computer Society, (2010)Lexicographic refinements in stationary possibilistic Markov Decision Processes., , , and . Int. J. Approx. Reasoning, (2018)Possibilistic Networks: Parameters Learning from Imprecise Data and Evaluation strategy., , and . CoRR, (2016)Expressivity of Possibilistic Preference Networks with Constraints., , , and . SUM, volume 10564 of Lecture Notes in Computer Science, page 163-177. Springer, (2017)Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions., , and . ECSQARU, volume 4724 of Lecture Notes in Computer Science, page 17-29. Springer, (2007)Brain Tumor Segmentation Using Support Vector Machines., and . ECSQARU, volume 5590 of Lecture Notes in Computer Science, page 736-747. Springer, (2009)Necessity-Based Choquet Integrals for Sequential Decision Making under Uncertainty., , and . IPMU, volume 6178 of Lecture Notes in Computer Science, page 521-531. Springer, (2010)Probability-Possibility Transformation: - Application to Bayesian and Possibilistic Networks., , and . WILF, volume 8256 of Lecture Notes in Computer Science, page 122-130. Springer, (2013)Décision collective sous incertitude possibiliste. Principes et axiomatisation., , and . Rev. d'Intelligence Artif., 29 (5): 515-542 (2015)