Computer Gaming

• Bayesian Ranking and Matchmaking
• Learning to Fight
• Drivatars

Bayesian Learning

• Approximate Bayesian Inference
• Poisson Networks
• Bayesian Transductive Classification by Maximizing Volume in Version Space
• Bayes Point Machines for Classification Learning

Kernel Methods

• Semidefinite Programming in Classification Learning
• Informative Vector Machines
• Bayes Point Machines for Classification Learning
• Adaptive Margin Machines for Classification Learning
• Machine Learning Approaches to Ordinal Regression
• Classification Learning on Proximity Data
• Algebra and machine induction of ripple down rules
• Concept formation from structural examples

Statistical Learning Theory

• Large Deviation Bounds for the Area under the ROC curve
• Algorithmic Luckiness
• Generalisation Error Bounds in the PAC-Bayesian Framework
• The importance of sparsity for generalization
• Assessment of learning algorithms