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Stephen H. Muggleton

2 accepted papers

2020

Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning

Céline Hocquette, Stephen H. Muggleton
IJCAI 2020poster

Predicate Invention in Meta-Interpretive Learning (MIL) is generally based on a top-down approach, and the search for a consistent hypothesis is carried out starting from the positive examples as goals. We consider augmenting top-down MIL systems with a bottom-up step during which the background kno…

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2020

Turning 30: New Ideas in Inductive Logic Programming

Andrew Cropper, Sebastijan Dumančić, Stephen H. Muggleton
IJCAI 2020poster

Common criticisms of state-of-the-art machine learning include poor generalisation, a lack of interpretability, and a need for large amounts of training data. We survey recent work in inductive logic programming (ILP), a form of machine learning that induces logic programs from data, which has shown…

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