Modelling Genomic Data
Theory and Applications of Boosting
Plastic Card Fraud Detection using Peer Group Analysis
Protein-protein network inference with regularized output and input kernel methods
Stationary Features and Folded Hierarchies for Efficient Object Detection
Pointwise Exact Bootstrap Distributions of Cost Curves
Bayesian Multiple Instance Learning: Automatic Feature Selection and Inductive Transfer
New Methods and Application Domains for Stimulus Driven BCI's
Lecture 11: Statistical Estimation
Data Mining