RE-EM trees: a data mining approach for longitudinal and clustered data
Linear classifiers are nearly optimal when hidden variables have diverse effects
Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification
An alternative view of variational Bayes and asymptotic approximations of free energy
Guest Editors’ introduction
ILP turns 20
Gradient-based boosting for statistical relational learning: The relational dependency network case
Bridging logic and kernel machines
Applying the information bottleneck to statistical relational learning
Inverse subsumption for complete explanatory induction
Data and task parallelism in ILP using MapReduce
Efficiently identifying deterministic real-time automata from labeled data
Statistical analysis of kernel-based least-squares density-ratio estimation
Local equivalences of distances between clusterings—a geometric perspective
Robustness and generalization