Inductive equivalence in clausal logic and nonmonotonic logic programming
Adaptive partitioning schemes for bipartite ranking
Learning noisy linear classifiers via adaptive and selective sampling
Checkpoint evolution for volatile correlation computing
Estimating variable structure and dependence in multitask learning via gradients
The optimal unbiased value estimator and its relation to LSTD, TD and MC
Sparse canonical correlation analysis
Non-homogeneous dynamic Bayesian networks for continuous data
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning
Effective feature construction by maximum common subgraph sampling
Block-wise construction of tree-like relational features with monotone reducibility and redundancy
Efficient mining for structurally diverse subgraph patterns in large molecular databases
Relational information gain
Constraint-based probabilistic modeling for statistical abduction