APA (7th ed.) Citation

Schüller, P., & Benz, M. (2018). Best-effort inductive logic programming via fine-grained cost-based hypothesis generation: The inspire system at the inductive logic programming competition. Machine learning, 107(7), 1141-1169. https://doi.org/10.1007/s10994-018-5708-2

Chicago Style (17th ed.) Citation

Schüller, Peter, and Mishal Benz. "Best-effort Inductive Logic Programming via Fine-grained Cost-based Hypothesis Generation: The Inspire System at the Inductive Logic Programming Competition." Machine Learning 107, no. 7 (2018): 1141-1169. https://doi.org/10.1007/s10994-018-5708-2.

MLA (9th ed.) Citation

Schüller, Peter, and Mishal Benz. "Best-effort Inductive Logic Programming via Fine-grained Cost-based Hypothesis Generation: The Inspire System at the Inductive Logic Programming Competition." Machine Learning, vol. 107, no. 7, 2018, pp. 1141-1169, https://doi.org/10.1007/s10994-018-5708-2.