The idea of a combined reference model- and view-based specification approach has been proposed recently in the software engineering community. In this paper we present a specifica...
Gregor Engels, Reiko Heckel, Gabriele Taentzer, Ha...
This paper focuses on in-process measurements during requirements definition where measurements of processes and products are relatively difficult. However, development processes ...
Yoshiki Mitani, Tomoko Matsumura, Mike Barker, Sei...
Model-driven application engineering builds on the concept of model transformations. To weave additional refinement parts into an application model, so-called refinement transform...
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...