Inductive Logic Programming: 28th International Conference, ILP 2018, Ferrara, Italy, September 2–4, 2018, Proceedings

Description

This book constitutes the refereed conference proceedings of the 28th International Conference on Inductive Logic Programming, ILP 2018, held in Ferrara, Italy, in September 2018. The 10 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data. Front Matter ....Pages I-IX Derivation Reduction of Metarules in Meta-interpretive Learning (Andrew Cropper, Sophie Tourret)....Pages 1-21 Large-Scale Assessment of Deep Relational Machines (Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Oghenejokpeme I. Orhobor, Ross D. King)....Pages 22-37 How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies? (Céline Hocquette, Stephen Muggleton)....Pages 38-53 Diagnostics of Trains with Semantic Diagnostics Rules (Evgeny Kharlamov, Ognjen Savković, Martin Ringsquandl, Guohui Xiao, Gulnar Mehdi, Elem Güzel Kalayc et al.)....Pages 54-71 The Game of Bridge: A Challenge for ILP (Swann Legras, Céline Rouveirol, Véronique Ventos)....Pages 72-87 Sampling-Based SAT/ASP Multi-model Optimization as a Framework for Probabilistic Inference (Matthias Nickles)....Pages 88-104 Explaining Black-Box Classifiers with ILP – Empowering LIME with Aleph to Approximate Non-linear Decisions with Relational Rules (Johannes Rabold, Michael Siebers, Ute Schmid)....Pages 105-117 Learning Dynamics with Synchronous, Asynchronous and General Semantics (Tony Ribeiro, Maxime Folschette, Morgan Magnin, Olivier Roux, Katsumi Inoue)....Pages 118-140 Was the Year 2000 a Leap Year? Step-Wise Narrowing Theories with Metagol (Michael Siebers, Ute Schmid)....Pages 141-156 Targeted End-to-End Knowledge Graph Decomposition (Blaž Škrlj, Jan Kralj, Nada Lavrač)....Pages 157-171 Correction to: How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies? (Céline Hocquette, Stephen Muggleton)....Pages E1-E1 Back Matter ....Pages 173-173