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...
Within the parallel genetic algorithm framework, there currently exists a growing dichotomy between coarse-pain and fine-grain parallel architectures. This paper attempts to chara...
Abstract: This paper considers the problem of cooperative power control in distributed small cell wireless networks. We introduce a novel framework, based on repeated games, which ...
Mael Le Treust, Hamidou Tembine, Samson Lasaulce, ...
The ability of performance technology to keep pace with the growing complexity of parallel and distributed systems depends on robust performance frameworks that can at once provid...
In this paper we investigate P systems whose compartments contain sets of symbolobjects rather than multisets of objects, as it is common in membrane computing. If the number of m...