Feature selection via sensitivity analysis of SVM probabilistic outputs
A linear fit gets the correct monotonicity directions
A formal framework and extensions for function approximation in learning classifier systems
Incorporating prior knowledge in support vector regression
Guest editorial: special issue on Inductive Logic Programming
QG/GA: a stochastic search for Progol
On the connection between the phase transition of the covering test and the learning success rate in ILP
Compressing probabilistic Prolog programs
Generalized ordering-search for learning directed probabilistic logical models
Margin-based first-order rule learning
ALLPAD: approximate learning of logic programs with annotated disjunctions
Inductive logic programming for gene regulation prediction