Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Abstract. Embedded network devices have become an ubiquitous fixture in the modern home, office as well as in the global communication infrastructure. Devices like routers, NAS ap...
Ang Cui, Yingbo Song, Pratap V. Prabhu, Salvatore ...
This work presents a user position management system for Wi-Fi networks. The location system is based on access point coverage range and beacon devices. The implementation was mad...
Andrei Oliveira da Silva, Paulo Henrique de Souza ...
The ability to discover the AS-level path between two end-points is valuable for network diagnosis, performance optimization, and reliability enhancement. Virtually all existing t...
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...