Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
nalysis of a TA modeled component. First, we abstract fine models to work with event streams at coarse granularity. We perform analysis of the component at multiple coarse granular...
Achieving data security over cooperating web services is becoming a reality, but existing XML access control architectures do not consider this federated service computing. In this...
Erwin Leonardi, Sourav S. Bhowmick, Mizuho Iwaihar...
Most digital libraries (DLs) necessarily focus on the complex issues that arise when library collections are freed from their physical anchors in buildings and on paper. Typical i...
The deployment of multi-agent systems demands for justified confidence into their behaviour, both with respect to correct results of computations and with respect to timeliness t...