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Predicting the Potential of Professional Soccer Players.

, , , and . MLSA@PKDD/ECML, volume 1971 of CEUR Workshop Proceedings, page 1-10. CEUR-WS.org, (2017)

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Learning from positive and unlabeled data: a survey., and . Mach. Learn., 109 (4): 719-760 (2020)Guest editors introduction: special issue on inductive logic programming., and . Mach. Learn., 103 (3): 307-308 (2016)An integrated approach to feature invention and model construction for drug activity prediction., , , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 217-224. ACM, (2007)Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events., , , , , and . ICML, icml.cc / Omnipress, (2012)Lifted Variable Elimination with Arbitrary Constraints., , , and . AISTATS, volume 22 of JMLR Proceedings, page 1194-1202. JMLR.org, (2012)View Learning for Statistical Relational Learning: With an Application to Mammography., , , , , , and . IJCAI, page 677-683. Professional Book Center, (2005)Learning From Positive and Unlabeled Data: A Survey., and . CoRR, (2018)Improving Markov network structure learning using decision trees., and . J. Mach. Learn. Res., 15 (1): 501-532 (2014)Gait Event Detection in Tibial Acceleration Profiles: a Structured Learning Approach., , , , , , and . CoRR, (2019)Solving Probability Problems in Natural Language, , , , and . IJCAI, (2017)