We introduce a new parallel programming paradigm, namely synchronous parallel critical sections. Such parallel critical sections must be seen in the context of switching between s...
Obtaining performance data for application or system software is typically di cult, especially when the source code is not available. While popular techniques such as event trappi...
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Software Version Control Systems (VCSs) are used to store the versions of program source code created throughout the software development cycle. The traditional purpose of such sys...
Explaining away has mostly been considered in terms of inference of states in belief networks. We show how it can also arise in a Bayesian context in inference about the weights g...