16 citations · 16 across the 2 of their papers we have counts for
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cs.AI2017
Best-Effort Inductive Logic Programming via Fine-grained Cost-based Hypothesis Generation
Peter Schüller, Mishal Benz
We describe the Inspire system which participated in the first competition on Inductive Logic Programming (ILP). Inspire is based on Answer Set Programming (ASP). The distinguishin…
cs.AI2017★ 16 cited
Improving Scalability of Inductive Logic Programming via Pruning and Best-Effort Optimisation
Mishal Kazmi, Peter Schüller, Yücel Saygın
Inductive Logic Programming (ILP) combines rule-based and statistical artificial intelligence methods, by learning a hypothesis comprising a set of rules given background knowledge…