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111 - 120 von 120

	111	Guest editors’ introduction: special issue on Inductive Logic Programming (ILP 2019) Enthalten in Machine learning Bd. 109, 29.6.2020, Nr. 7, date:7.2020: 1287-1288
	112	Improving Expressivity of Inductive Logic Programming by Learning Different Kinds of Fuzzy Rules Enthalten in Soft computing Bd. 11, 20.6.2006, Nr. 5, date:3.2007: 459-466
	113	Incremental learning of event definitions with Inductive Logic Programming Enthalten in Machine learning Bd. 100, 20.6.2015, Nr. 2-3, date:9.2015: 555-585
	114	Lifting symmetry breaking constraints with inductive logic programming Enthalten in Machine learning Bd. 111, 19.4.2022, Nr. 4, date:4.2022: 1303-1326
	115	Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018 Enthalten in Machine learning Bd. 108, 14.2.2019, Nr. 7, date:7.2019: 1057-1059
	116	Preface to the special issue on inductive logic programming Enthalten in Machine learning Bd. 107, 6.6.2018, Nr. 7, date:7.2018: 1095-1096
	117	Quantitative pharmacophore models with inductive logic programming Enthalten in Machine learning Bd. 64, 8.5.2006, Nr. 1-3, date:9.2006: 65-90
	118	Special issue on inductive logic programming Enthalten in Machine learning Bd. 106, 14.11.2017, Nr. 12, date:12.2017: 1863-1865
	119	Stephen H. Muggleton and Hiroaki Watanabe (Eds.): Latest advances in inductive logic programming Enthalten in Genetic programming and evolvable machines Bd. 17, 28.12.2015, Nr. 1, date:3.2016: 77-79
	120	Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds Enthalten in Journal of computer aided molecular design Bd. 21, 27.3.2007, Nr. 5, date:5.2007: 269-280

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