To facilitate rational decision making regarding cyber security investments, decision makers need to be able to assess expected losses before and after potential investments. This...
Research in advanced context-aware systems has clearly shown a need to capture the inherent uncertainty in the physical world, especially in human behavior. Modelling approaches th...
Michael Angermann, Patrick Robertson, Thomas Stran...
The aim of this paper is to propose a service oriented decision support system based on an ontology-driven uncertainty model (OntoBayes). OntoBayes consists of knowledge and decis...
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...