Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
Several models of deterministic routing have been proposed for wormhole-routed mesh networks while there is only one model, to our best knowledge, proposed for fully adaptive worm...
The development of a discrete-event simulation tool, called GMSim, based on the generalized semi-Markov process (GSMP) formalism is described. The GSMP representation comprises bo...
We introduce a generic and efficient method for 2D and 3D shape estimation via density Þelds. Our method models shape as a density map and uses the notion of density to Þt a mod...
Transfer function models for the descriptionof physical systems have recently been introduced to the field of multidimensional digital signal processing. They provide an alternati...