Induced (chord-free) cycles in binary hypercubes have many applications in computer science. The state of the art for computing such cycles relies on genetic algorithms, which are,...
Yury Chebiryak, Thomas Wahl, Daniel Kroening, Leop...
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
d abstract), Nicola Ferraro, Luigi Palopoli, Simona Panni and Simona E. Rombo. Uncovering Hidden Phylogenetic Consensus d abstract), Nicholas Pattengale, Krister Swenson and Bernar...
Nicola Ferraro, Luigi Palopoli, Simona Panni, Simo...
— In this paper we propose a testing based method for safety/ reachability analysis of stochastic hybrid systems. Testing based methods are characterized by analysis based on the...
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...