Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...

Inductive logic programming [24] is situated in the intersection of machine learning or data mining on the one hand, and logic programming on the other hand. It shares with the former fields the goal ...

Popper is an inductive logic programming system. Popper combines logical reasoning with machine learning to induce rules from examples and background knowledge. If you use Popper, please cite the ...

Popper is an inductive logic programming system. Popper combines logical reasoning with machine learning to induce rules from examples and background knowledge. If you use Popper, please cite the ...

Abstract: Support logic programming and its practical implementation (Fril) integrates probabilistic and fuzzy uncertainty into logic programming using mass assignments. This paper presents a snapshot ...