This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
— A cognitive system is presented, which is based on coupling a multi-objective evolutionary algorithm with a fuzzy information processing system. The aim of the system is to ide...
—We study in this paper optimal stochastic control issues in delay tolerant networks. We first derive the structure of optimal two-hop forwarding policies. In order to be implem...
Eitan Altman, Giovanni Neglia, Francesco De Pelleg...
This paper presents a multiple-FPGA-based experimentation board. The problem to be solved is that of implementing a circuit into a set of FPGAs. This board provides a hardware env...
We investigate Monte Carlo Markov Chain (MCMC) procedures for the random sampling of some one-dimensional lattice paths with constraints, for various constraints. We will see that...