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Inference and Learning in Multi-dimensional Bayesian Network Classifiers.

, and . ECSQARU, volume 4724 of Lecture Notes in Computer Science, page 501-511. Springer, (2007)

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Upgrading Ambiguous Signs in QPNs, , and . CoRR, (2012)When Learning Naive Bayesian Classifiers Preserves Monotonicity., , and . ECSQARU, volume 6717 of Lecture Notes in Computer Science, page 422-433. Springer, (2011)Balanced Tuning of Multi-dimensional Bayesian Network Classifiers., and . ECSQARU, volume 9161 of Lecture Notes in Computer Science, page 210-220. Springer, (2015)The Complexity of Finding kth Most Probable Explanations in Probabilistic Networks., , and . SOFSEM, volume 6543 of Lecture Notes in Computer Science, page 356-367. Springer, (2011)Supporting Probability Elicitation by Sensitivity Analysis., and . EKAW, volume 1319 of Lecture Notes in Computer Science, page 335-340. Springer, (1997)Properties of Sensitivity Analysis of Bayesian Belief Networks., and . Ann. Math. Artif. Intell., 36 (4): 323-356 (2002)Poset Representations for Sets of Elementary Triplets., and . PGM, volume 138 of Proceedings of Machine Learning Research, page 521-532. PMLR, (2020)Decision Making in Qualitative Influence Diagrams., and . FLAIRS, page 410-414. AAAI Press, (1998)Discretisation Effects in Naive Bayesian Networks., , and . IPMU (3), volume 299 of Communications in Computer and Information Science, page 161-170. Springer, (2012)How to Elicit Many Probabilities., , , , and . UAI, page 647-654. Morgan Kaufmann, (1999)