Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...
Based on a vision that, in the future, applications will be flexibly built out of small-grained components, we argue that current technologies do not adequately support component d...
Integration of heterogeneous statistics is essential for political decision making on all levels. Like in intelligent information integration in general, the problem is to combine ...
Abstract. The complexity of today's embedded systems and their development trajectories requires a systematic, model-driven design approach, supported by tooling wherever poss...
Twan Basten, Emiel van Benthum, Marc Geilen, Marti...
This paper proposes a software architecture and a development process for engineering dependable and controllable self-organising (SO) systems. Our approach addresses dependabilit...
Giovanna Di Marzo Serugendo, John S. Fitzgerald, A...