Extracting motifs from a set of DNA sequences is important in computational biology. Occurrence probability is a common used statistics to evaluate the statistical significance of...
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
A schedule of a Petri Net (PN) represents a set of firing sequences that can be infinitely repeated within a bounded state space, regardless of the outcomes of the nondeterminis...
Cong Liu, Alex Kondratyev, Yosinori Watanabe, Albe...
— The task scheduler of an energy harvesting wireless sensor node (WSN) must adapt the task complexity and maximize the accuracy of the tasks within the constraint of limited ene...
Abstract. The foundation of a process model lies in its control flow specifications. Using a generic process modeling language for workflows, we show how a control flow specificati...