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ROC 'n' Rule Learning - Towards a Better Understanding of Covering Algorithms.

, and . Mach. Learn., 58 (1): 39-77 (2005)

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First-Order Logic.. Encyclopedia of Machine Learning, Springer, (2010)Second-order Inductive Learning.. AII, volume 397 of Lecture Notes in Computer Science, page 202-216. Springer, (1989)RSD: Relational Subgroup Discovery through First-Order Feature Construction., , and . ILP, volume 2583 of Lecture Notes in Computer Science, page 149-165. Springer, (2002)Improving the AUC of Probabilistic Estimation Trees., , and . ECML, volume 2837 of Lecture Notes in Computer Science, page 121-132. Springer, (2003)An application of hierarchical Gaussian processes to the detection of anomalies in star light curves., , , and . Neurocomputing, (2019)On the need for structure modelling in sequence prediction., , and . Mach. Learn., 104 (2-3): 291-314 (2016)Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned., , , and . Mach. Learn., 57 (1-2): 115-143 (2004)Classifier Calibration.. Encyclopedia of Machine Learning and Data Mining, Springer, (2017)Generic Multiplicative Methods for Implementing Machine Learning Algorithms on MapReduce, , and . CoRR, (2011)A Big Data platform for smart meter data analytics., , , and . Comput. Ind., (2019)