Inductive logic programming at 30
Copyright policy )Inductive logic programming at 30
AbstractInductive 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 and background knowledge. As ILP turns 30, we review the last decade of research. We focus on (i) new meta-level search methods, (ii) techniques for learning recursive programs, (iii) new approaches for predicate invention, and (iv) the use of different technologies. We conclude by discussing current limitations of ILP and directions for future research.
- University of Oxford United Kingdom
- KU Leuven Belgium
- University of Oxford (UK) United Kingdom
- KU Leuven Belgium
- Katholieke Universiteit Leuven Belgium
FOS: Computer and information sciences, Technology, Computer Science - Machine Learning, Science & Technology, Computer Science - Artificial Intelligence, 1702 Cognitive Sciences, Inductive logic programming, Program synthesis, Computer Science, Artificial Intelligence, Machine Learning (cs.LG), DEFINITIONS, Relational learning, Artificial Intelligence (cs.AI), 4611 Machine learning, DISCOVERY, 0806 Information Systems, Computer Science, 0801 Artificial Intelligence and Image Processing, Artificial Intelligence & Image Processing, PREDICATE INVENTION, Program induction, GENERATION
FOS: Computer and information sciences, Technology, Computer Science - Machine Learning, Science & Technology, Computer Science - Artificial Intelligence, 1702 Cognitive Sciences, Inductive logic programming, Program synthesis, Computer Science, Artificial Intelligence, Machine Learning (cs.LG), DEFINITIONS, Relational learning, Artificial Intelligence (cs.AI), 4611 Machine learning, DISCOVERY, 0806 Information Systems, Computer Science, 0801 Artificial Intelligence and Image Processing, Artificial Intelligence & Image Processing, PREDICATE INVENTION, Program induction, GENERATION
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