To tackle the problem of increasing numbers of state transition parameters when the number of sensors increases, we present a probabilistic model together with several parsinomiou...
—We associate a statistical vector to a trace and a geometrical embedding to a Markov Decision Process, based on a distance on words, and study basic Membership and Equivalence p...
We consider bisimulation and weak bisimulation relations in the context of the Labeled Markov Chains of Hansson and Jonsson, the Concurrent Labeled Markov Chains of Philippou, Lee...
Efficient query processing in P2P-based Web integration systems poses a variety of challenges resulting from the strict decentralization and limited knowledge. As a special probl...
The paper introduces a framework for clustering data objects in a similarity-based context. The aim is to cluster objects into a given number of classes without imposing a hard pa...