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Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models.

, , and . IJCAI, page 5751-5757. ijcai.org, (2019)

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Explainable Activity Recognition in Videos using Deep Learning and Tractable Probabilistic Models., , , , , , , and . ACM Trans. Interact. Intell. Syst., 13 (4): 29:1-29:32 (December 2023)Robust learning of tractable probabilistic models., , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1572-1581. PMLR, (2022)Algorithms for the Nearest Assignment Problem., , and . IJCAI, page 5096-5102. ijcai.org, (2018)Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees., , and . ECML/PKDD (2), volume 8725 of Lecture Notes in Computer Science, page 630-645. Springer, (2014)Learning Ensembles of Cutset Networks., and . AAAI, page 3301-3307. AAAI Press, (2016)Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models., , and . IJCAI, page 5751-5757. ijcai.org, (2019)Explainable Activity Recognition in Videos., , , , , , , and . IUI Workshops, volume 2327 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Dynamic Cutset Networks., , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3106-3114. PMLR, (2021)Look Ma, No Latent Variables: Accurate Cutset Networks via Compilation., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5311-5320. PMLR, (2019)On the Importance of User Backgrounds and Impressions: Lessons Learned from Interactive AI Applications., , , , , , and . ACM Trans. Interact. Intell. Syst., 12 (4): 28:1-28:29 (December 2022)