A Framework for Defining Distances Between First-Order Logic Objects

Distance based approaches to relational learning and clustering

Relational Data Mining

Relational Instance-Based Learning with Lists and Terms

Machine Learning

Instance Based Function Learning

ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming

Extending K-Means Clustering to First-Order Representations

ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming

Learning Logic Programs with Neural Networks

ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming

Relational IBL in classical music

Machine Learning

Minimal Distance-Based Generalisation Operators for First-Order Objects

Inductive Logic Programming

kFOIL: learning simple relational kernels

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

Learning with kernels and logical representations

Probabilistic inductive logic programming

Not far away from home: a relational distance-based approach to understanding images of houses

ILP'10 Proceedings of the 20th international conference on Inductive logic programming

Learning with semantic kernels for clausal knowledge bases

ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems

Support vector inductive logic programming

DS'05 Proceedings of the 8th international conference on Discovery Science

An integrated distance for atoms

FLOPS'10 Proceedings of the 10th international conference on Functional and Logic Programming

Conceptual clustering of multi-relational data

ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming