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Improving Markov network structure learning using decision trees.

, and . J. Mach. Learn. Res., 15 (1): 501-532 (2014)

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Semi-supervised Change Point Detection Using Active Learning., , , , and . DS, volume 13601 of Lecture Notes in Computer Science, page 74-88. Springer, (2022)Predicting the Potential of Professional Soccer Players., , , and . MLSA@PKDD/ECML, volume 1971 of CEUR Workshop Proceedings, page 1-10. CEUR-WS.org, (2017)Detecting Evasion Attacks in Deployed Tree Ensembles., , , and . ECML/PKDD (5), volume 14173 of Lecture Notes in Computer Science, page 120-136. Springer, (2023)Leaving Goals on the Pitch: Evaluating Decision Making in Soccer., , , , and . CoRR, (2021)How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection., , and . CoRR, (2023)Lifted Reasoning for Combinatorial Counting., , , and . J. Artif. Intell. Res., (2023)A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer., , , , and . J. Artif. Intell. Res., (2023)Machine Learning in Sports (Dagstuhl Seminar 21411)., , , and . Dagstuhl Reports, 11 (9): 45-63 (2021)Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption., and . UAI, volume 115 of Proceedings of Machine Learning Research, page 1138-1148. AUAI Press, (2019)A novel reject option applied to sleep stage scoring., , , and . SDM, page 820-828. SIAM, (2023)