A largely incomplete but hopefully useful list of links to datasets for relational learning and inductive logic programming. No guarantees on availability. relational-learning ...

Inductive logic programming (ILP) studies the learning of (Prolog) logic programs and other relational knowledge from examples. Most machine learning algorithms are restricted to finite, propositional ...

Inductive logic programming is the field defined as the intersection of machine learning and logic programming. Two strengths of inductive logic programming, namely, the expressive representation ...

<para>Recently, there has been increasing interest in Inductive Logic Programming (ILP) systems. But existing ILP systems cannot improve themselves automatically. This paper describes an Adaptive ...

This paper presents results from recent experiments with CHILL, a corpus-based parser acquisition system. CHILL treats grammar acquisition as the learning of search-control rules within a logic ...

program-synthesis inductive-logic-programming program-induction Updated Sep 13, 2021 Prolog ...