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Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks., , и . Probabilistic Graphical Models, том 52 из JMLR Workshop and Conference Proceedings, стр. 74-85. JMLR.org, (2016)On Converting Sum-Product Networks into Bayesian Networks., , и . Canadian AI, том 10233 из Lecture Notes in Computer Science, стр. 329-334. (2017)Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks., , и . Canadian AI, том 10233 из Lecture Notes in Computer Science, стр. 305-315. (2017)On the Tree Structure of Deep Convolutional Sum-Product Networks., , , и . FLAIRS, стр. 500-503. AAAI Press, (2019)An empirical study of Bayesian network inference with simple propagation., , , и . Int. J. Approx. Reason., (2018)An Empirical Study of Methods for SPN Learning and Inference., , , , , и . PGM, том 72 из Proceedings of Machine Learning Research, стр. 49-60. PMLR, (2018)On Tree Structures Used by Simple Propagation., , , и . Canadian AI, том 9673 из Lecture Notes in Computer Science, стр. 207-212. Springer, (2016)Exploiting Symmetry of Independence in d-Separation., , , и . Canadian AI, том 11489 из Lecture Notes in Computer Science, стр. 42-54. Springer, (2019)Upward Pass Semantics in Arithmetic Circuit Inference., , , , и . Canadian AI, Canadian Artificial Intelligence Association, (2023)Simple Propagation with Arc-Reversal in Bayesian Networks., , , и . PGM, том 72 из Proceedings of Machine Learning Research, стр. 260-271. PMLR, (2018)