Selected Recent Machine Learning Publications
Here is a sample of some recent work from the Machine Learning group. For comprehensive lists of papers see individual researchers home pages.
Mark Reid, Bob Williamson Information, Divergence and Risk for Binary Experiments
XV Nguyen, L. Epps, J. Bailey Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance.
M. Moshtaghi, T. Havens, JC. Bezdek, L. Park, C. Leckie, S. Pajasegarar, JM. Keller, M. Palaniswami Clustering ellipses for anomaly detection
David Martinez, Timothy Baldwin Word sense disambiguation for event trigger word detection in biomedicine
Su Nam Kim, David Martinez, Lawrence Cavedon, Lars Yencken Automatic classification of sentences to support evidence based medicine
Tim van Erven, Mark Reid, Bob Williamson Mixability is Bayes Risk Curvature Relative to Log Loss
Kee Siong Ng, John Lloyd, William Uther Probabilistic Modelling, Inference and Learning using Logical Theories
Yang Wang Joint Random Field Model for All-Weather Moving Vehicle Detection