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
B
ayes Point Machines for Classification Learning
Kernel Methods
Semidefinite Programming in Classification Learning
Informative Vector Machines
B
ayes 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
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This site was last updated 04-06-2006