Online variance minimization
Visualizing non-metric similarities in multiple maps
Similarity measures over refinement graphs
Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning
Multi-output learning via spectral filtering
Learning sparse gradients for variable selection and dimension reduction
Meta-learning for evolutionary parameter optimization of classifiers
Efficient cross-validation for kernelized least-squares regression with sparse basis expansions
Experiment databases
Optimal control as a graphical model inference problem
Temporal-difference search in computer Go
PAMR: Passive aggressive mean reversion strategy for portfolio selection