Guest editorial: special issue on Inductive Logic Programming (ILP 2011)
k-Optimal: a novel approximate inference algorithm for ProbLog
Relational networks of conditional preferences
Learning compact Markov logic networks with decision trees
Online Bayesian inference for the parameters of PRISM programs
Learning directed relational models with recursive dependencies
Guest editors’ introduction: special issue of selected papers from ECML PKDD 2011
Good edit similarity learning by loss minimization
Novel high intrinsic dimensionality estimators
Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis
Sequential approaches for learning datum-wise sparse representations
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm
Focused multi-task learning in a Gaussian process framework
Learning monotone nonlinear models using the Choquet integral