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On Bayesian Network Inference with Simple Propagation.

, , , and . Probabilistic Graphical Models, volume 52 of JMLR Workshop and Conference Proceedings, page 62-73. JMLR.org, (2016)

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A join tree probability propagation architecture for semantic modeling., , and . J. Intell. Inf. Syst., 33 (2): 145-178 (2009)Towards Jointree Propagation with Conditional Probability Distributions., , and . Rough Sets and Current Trends in Computing, volume 3066 of Lecture Notes in Computer Science, page 368-377. Springer, (2004)Contextual Weak Independence in Bayesian Networks., and . UAI, page 670-679. Morgan Kaufmann, (1999)A Method for Implementing a Probabilistic Model as a Relational Database., , and . UAI, page 556-564. Morgan Kaufmann, (1995)Precision and Recall in Rough Support Vector Machines., and . GrC, page 654-658. IEEE Computer Society, (2007)An Empirical Study of Methods for SPN Learning and Inference., , , , , and . PGM, volume 72 of Proceedings of Machine Learning Research, page 49-60. PMLR, (2018)Sum-Product Network Decompilation., , and . CoRR, (2019)Exploiting Symmetry of Independence in d-Separation., , , and . Canadian AI, volume 11489 of Lecture Notes in Computer Science, page 42-54. Springer, (2019)d-Separation: Strong Completeness of Semantics in Bayesian Network Inference., , and . Canadian AI, volume 7884 of Lecture Notes in Computer Science, page 13-24. Springer, (2013)Probabilistic Reasoning in Bayesian Networks: A Relational Database Approach., , and . AI, volume 2671 of Lecture Notes in Computer Science, page 583-590. Springer, (2003)