Graphs and graph transformation systems are a frequently used modelling technique for a wide range of different domains, covering areas as diverse as refactorings, network topolog...
The use of speaker adaptation transforms as features for speaker recognition is an appealing alternative to conventional short-term cepstral features. In general, this kind of met...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Abstract. By now, the mapping from BPMN to BPEL has been implemented in numerous tools, greatly assisting the business architect in the creation of BPEL processes. However, most of...
In this paper we describe an application of the theory of graph transformations to the practise of language design. In particular, we have defined the static and dynamic semantics ...