Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...
This paper is focused on estimating the quality of the sample mean from a steady-state simulation experiment with consideration of computational efficiency, memory requirement, an...
Abstract. We develop an algorithm to compute timed reachability probabilities for distributed models which are both probabilistic and nondeterministic. To obtain realistic results ...
Georgel Calin, Pepijn Crouzen, Pedro R. D'Argenio,...
Crosscutting concerns are pervasive in embedded software, because of the various constraints imposed by the environment and the stringent QOS requirements on the system. This pape...
Thomas Cottenier, Aswin van den Berg, Tzilla Elrad
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...