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Most Relevant Explanation: Properties, Algorithms, and Evaluations.

, , , and . UAI, page 631-638. AUAI Press, (2009)

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An Improved Admissible Heuristic for Learning Optimal Bayesian Networks., and . UAI, page 924-933. AUAI Press, (2012)Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation., , , , , , and . CIKM, page 4545-4551. ACM, (2023)Finding Optimal Bayesian Network Structures with Constraints Learned from Data., , and . UAI, page 200-209. AUAI Press, (2014)AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions., , , , , , and . WWW, page 2978-2988. ACM, (2022)An Exact Algorithm for Solving Most Relevant Explanation in Bayesian Networks., and . AAAI, page 3649-3656. AAAI Press, (2015)Efficient Heuristic Search for M-Modes Inference., , and . PGM, volume 138 of Proceedings of Machine Learning Research, page 77-88. PMLR, (2020)Solving Multiple Inference by Minimizing Expected Loss., , , and . PGM, volume 138 of Proceedings of Machine Learning Research, page 65-76. PMLR, (2020)Hierarchical Beam Search for Solving Most Relevant Explanation in Bayesian Networks., and . FLAIRS, page 594-599. AAAI Press, (2015)An Importance Sampling Algorithm Based on Evidence Pre-propagation., and . UAI, page 624-631. Morgan Kaufmann, (2003)Deep Metric Learning to Hierarchically Rank - An Application in Product Retrieval., , , , , , and . EMNLP (Industry Track), page 104-112. Association for Computational Linguistics, (2023)