Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Abstract. This paper shows how a formal method in the form of Coloured Petri Nets (CPNs) and the supporting CPN Tools have been used in the development of the Course of Action Sche...
Lars Michael Kristensen, Peter Mechlenborg, Lin Zh...
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Abstract—Many application domains require adaptive realtime embedded systems that can change their functionality over time. In such systems it is not only necessary to guarantee ...
Nikolay Stoimenov, Simon Perathoner, Lothar Thiele