Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Users often can not easily express their queries. For example, in a multimedia image by content setting, the user might want photographs with sunsets; in current systems, like QBI...
The execution of cross-domain eGovernment applications is a challenging topic. eGovernment organisations are facilitated and conducted using workflow management systems. Workflows...
This paper addresses the graphical representation of static aspects of B specifications, using UML class diagrams. These diagrams can help understand the specification for stakeho...