We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Real Time embedded system designers are facing extreme challenges in underlying architectural design selection. It involves the selection of a programmable, concurrent, heterogene...
Abstract--Recent advances in network coding research dramatically changed the underlying structure of optimal multicast routing algorithms and made them efficiently computable. Whi...
Abstract. In the future, homes will have numerous intelligent communicating devices, and the user would like to configure and coordinate their actions. Appliances and people in in...
Victor Zamudio, Victor Callaghan, Jeannette Shiaw-...