NSL: Hybrid Interpretable Learning From Noisy Raw Data

Daniel Cunnington, Alessandra Russo, Mark Law +2

Inductive Logic Programming (ILP) systems learn generalised, interpretable rules in a data-efficient manner utilising existing background knowledge. However, current ILP systems re…