Whether or not a critical threshold exists when epidemic diseases are spread in complex networks is a problem attracting attention from researchers in several disciplines. In 2001...
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...
We describe the commercial application of agents to the handling of catalogue and stock-control for the selling of books on the internet. The primary characteristic of the target ...
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Dynamic binary translators (DBT) have recently attracted much attention for embedded systems. The effective implementation of DBT in these systems is challenging due to tight cons...