21 citations · 66 across the 14 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.LG2021★ 2 cited
FF-NSL: Feed-Forward Neural-Symbolic Learner
Daniel Cunnington, Mark Law, Alessandra Russo +1
Logic-based machine learning aims to learn general, interpretable knowledge in a data-efficient manner. However, labelled data must be specified in a structured logical form. To ad…
cs.AI2021
Conflict-driven Inductive Logic Programming
Mark Law
The goal of Inductive Logic Programming (ILP) is to learn a program that explains a set of examples. Until recently, most research on ILP targeted learning Prolog programs. The ILA…