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Mark Voortman, Ph.D. - Publications

Affiliations: 
2010 University of Pittsburgh, Pittsburgh, PA, United States 
Area:
decision analysis, decision theory, information science, computer science, artificial intelligence
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5 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Zagorecki A, Łupińska-Dubicka A, Voortman M, Druzdzel MJ. Modeling Women's Menstrual Cycles using PICI Gates in Bayesian Network. International Journal of Approximate Reasoning : Official Publication of the North American Fuzzy Information Processing Society. 70: 123-136. PMID 26834313 DOI: 10.1016/J.Ijar.2015.12.002  0.412
2013 Dash D, Voortman M, De Jongh M. Sequences of mechanisms for causal reasoning in artificial intelligence Ijcai International Joint Conference On Artificial Intelligence. 839-845.  0.54
2010 Voortman M, Dash D, Druzdzel MJ. Learning why things change: The Difference-Based Causality Learner Proceedings of the 26th Conference On Uncertainty in Artificial Intelligence, Uai 2010. 641-650.  0.602
2008 Voortman M, Druzdzel MJ. Insensitivity of constraint-based causal discovery algorithms to violations of the assumption of multivariate normality Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, Flairs-21. 690-695.  0.445
2006 Zagorecki A, Voortman M, Druzdzel MJ. Decomposing local probability distributions in bayesian networks for improved inference and parameter learning Flairs 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference. 2006: 860-864.  0.62
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