The social sciences strive to understand the political, social, and cultural world around us, but have been impaired by limited access to the quantitative data sources enjoyed by ...
Mikhail Bautin, Charles B. Ward, Akshay Patil, Ste...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
: Monitoring is a fundamental building block of any network management system. It is needed to ensure that the network operates within the required parameters, and to account for u...
David Breitgand, Danny Dolev, Danny Raz, Gleb Shav...
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Abstract--In cognitive radio (CR) networks with multipleinput multiple-output (MIMO) links, secondary users (SUs) can exploit "spectrum holes" in the space domain to acce...