A comparison of pruning criteria for probability trees
Concept learning in description logics using refinement operators
Learning the set covering machine by bound minimization and margin-sparsity trade-off
Methods for the combination of kernel matrices within a support vector framework
Bayesian generalized probability calculus for density matrices
Semi-supervised local Fisher discriminant analysis for dimensionality reduction
Mining frequent closed rooted trees
Pointwise exact bootstrap distributions of ROC curves
Random classification noise defeats all convex potential boosters
Fast learning of relational kernels
On the quest for optimal rule learning heuristics
A cooperative coevolutionary algorithm for instance selection for instance-based learning
Algorithms for subsetting attribute values with Relief