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Turning 30: New Ideas in Inductive Logic Programming.

, , and . IJCAI, page 4833-4839. ijcai.org, (2020)Survey track.

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Logical Minimisation of Meta-Rules Within Meta-Interpretive Learning., and . ILP, volume 9046 of Lecture Notes in Computer Science, page 62-75. Springer, (2014)Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds., , , , , , and . J. Comput. Aided Mol. Des., 21 (5): 269-280 (2007)The Justification of Logical Theories based on Data Compression., , and . Machine Intelligence 13, page 87-121. Clarendon Press, Oxford, (1992)Subsumer: A Prolog theta-subsumption engine., and . ICLP (Technical Communications), volume 7 of LIPIcs, page 172-181. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2010)The Predictive Toxicology Evaluation Challenge., , , and . IJCAI (1), page 4-9. Morgan Kaufmann, (1997)Bayesian Inductive Logic Programming.. ICML, page 371-379. Morgan Kaufmann, (1994)Multi-class protein fold recognition using large margin logic based divide and conquer learning., , and . KDD Workshop on Statistical and Relational Learning in Bioinformatics, page 22-26. ACM, (2009)Learning Stochastic Logical Automaton., and . JSAI Workshops, volume 4012 of Lecture Notes in Computer Science, page 201-211. Springer, (2005)Are Grammatical Representations Useful for Learning from Biological Sequence Data? - A Case Study., , , , , and . J. Comput. Biol., 8 (5): 493-521 (2001)Inductive acquisition of expert knowledge.. University of Edinburgh, UK, (1986)British Library, EThOS.