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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
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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
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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
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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
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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
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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
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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
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118 |
Special issue on inductive logic programming
Enthalten in Machine learning Bd. 106, 14.11.2017, Nr. 12, date:12.2017: 1863-1865
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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
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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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