In this paper we address the problem of on-line recognition of human activities taking place in a public area such as a shopping center. We consider standard activities; namely, en...
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Defining dependency models is sometimes an easier, more intuitive way for ontology representation than defining reactive rectly, as it provides a higher level of abstraction. We w...
One of the central activities in developing requirements for business processes is that of modelling the constituent parts of both existing and future processes. This position pape...