We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Abstract. The complexity of distributed algorithms, such as state machine replication, motivates the use of formal methods to assist correctness verification. The design of the for...
There are many formalism for mobile system specification, but until very recently, there was no satisfactory graphical notation for modelling of such systems. In a previous paper, ...
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
The work presented in this paper targets the software integration on the level of business process models. The goal is to create the behavioural description of an integrated syste...
Georg Grossmann, Michael Schrefl, Markus Stumptner