Bayesian multitask inverse reinforcement learning

Bayesian Network Structure Learning with Permutation Tests

Bayesian Online Changepoint Detection

Bilateral Random Projections

Bounds on the Bayes Error Given Moments

Brain covariance selection: better individual functional connectivity models using population prior

BRAINSTORMING: Consensus Learning in Practice

BSVM: A Banded Suport Vector Machine

C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework

Calibrated Surrogate Losses for Classification with Label-Dependent Costs

Causal Inference on Discrete Data using Additive Noise Models

Causal Network Inference via Group Sparse Regularization

Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics

Classification approach based on association rules mining for unbalanced data

Classification by Set Cover: The Prototype Vector Machine

Classification Constrained Dimensionality Reduction

Classifying Clustering Schemes

Classifying Network Data with Deep Kernel Machines

Classifying the typefaces of the Gutenberg 42-line bible