Guest editors’ introduction: Special issue on Inductive Logic Programming (ILP-2008)
Brave induction: a logical framework for learning from incomplete information
The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause
Using the bottom clause and mode declarations in FOL theory revision from examples
An investigation into feature construction to assist word sense disambiguation
Learning block-preserving graph patterns and its application to data mining
Guest editors’ introduction: Special Issue from ECML PKDD 2009
Sparse kernel SVMs via cutting-plane training
Learning multi-linear representations of distributions for efficient inference
Combining instance-based learning and logistic regression for multilabel classification
On structured output training: hard cases and an efficient alternative
Hybrid least-squares algorithms for approximate policy evaluation
A self-training approach to cost sensitive uncertainty sampling
Cost-sensitive learning based on Bregman divergences