The study of information flow analyzes the principles and mechanisms of social information distribution. It is becoming an extremely important research topic in social network re...
Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Ju...
— This paper presents an architecture for adaptive cognitive radio networks based on the concept of a “global control plane”. The proposed control architecture uses a predete...
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
— Wireless sensor networks offer the potential to significantly improve the performance of pursuers in pursuit-evasion games. In this paper, we study several sensor network syst...
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...