Inductive transfer with context-sensitive neural networks
Transfer in variable-reward hierarchical reinforcement learning
Guest editor’s introduction: special issue on inductive transfer learning
Flexible latent variable models for multi-task learning
Convex multi-task feature learning
A notion of task relatedness yielding provable multiple-task learning guarantees
Decision trees for hierarchical multi-label classification
Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning
Multilabel classification via calibrated label ranking
Boosted Bayesian network classifiers
Guest editors’ introduction: special issue on inductive logic programming (ILP-2007)
Structured machine learning: the next ten years
Learning to assign degrees of belief in relational domains
Learning probabilistic logic models from probabilistic examples
A bias/variance decomposition for models using collective inference