6 citations · 23 across the 8 of their papers we have counts for
3 papers · 2 filters
Automated Biodesign Engineering by Abductive Meta-Interpretive Learning
Wang-Zhou Dai, Liam Hallett, Stephen H. Muggleton +1
The application of Artificial Intelligence (AI) to synthetic biology will provide the foundation for the creation of a high throughput automated platform for genetic design, in whi…
Inductive logic programming at 30
Andrew Cropper, Sebastijan Dumančić, Richard Evans +1
Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a hypothesis (a logic program) that generalises given training examples. As ILP t…
Top Program Construction and Reduction for polynomial time Meta-Interpretive Learning
Stassa Patsantzis, Stephen H. Muggleton
Meta-Interpretive Learners, like most ILP systems, learn by searching for a correct hypothesis in the hypothesis space, the powerset of all constructible clauses. We show how this…