Background: Low-level processing and normalization of microarray data are most important steps in microarray analysis, which have profound impact on downstream analysis. Multiple ...
Abstract: Event-driven Process Chains (EPCs) are a commonly used modelling technique for design and documentation of business processes. Although EPCs have an easy-to-understand no...
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 ...