Guest editors’ introduction: special issue of selected papers from ECML-PKDD 2012
A reinforcement learning approach to autonomous decision-making in smart electricity markets
Active evaluation of ranking functions based on graded relevance
Beam search algorithms for multilabel learning
Exploiting symmetries for scaling loopy belief propagation and relational training
Geometry preserving multi-task metric learning
Learning policies for battery usage optimization in electric vehicles
Massively parallel feature selection: an approach based on variance preservation
Introduction: special issue of selected papers of ACML 2012
Bayesian object matching
Recovering networks from distance data
Correlated topographic analysis: estimating an ordering of correlated components
Variational Bayesian sparse additive matrix factorization
Conditional validity of inductive conformal predictors
Exploration and exploitation of scratch games
Hypervolume indicator and dominance reward based multi-objective Monte-Carlo Tree Search
Modeling individual email patterns over time with latent variable models
On using nearly-independent feature families for high precision and confidence
Multi-stage classifier design