We study the problem of automatically identifying“hotspots” on the real-time web. Concretely, we propose to identify highly-dynamic ad-hoc collections of users – what we ref...
Algorithm performance evaluation is so entrenched in the Machine Learning community that one could call it an addiction. Like most addictions, it is harmful and very difficult to ...
Real-time systems need to be time-predictable in order to prove the timeliness of all their time-critical responses. While this is a well-known fact, recent efforts of the communit...
We present a system that learns to follow navigational natural language directions. Where traditional models learn from linguistic annotation or word distributions, our approach i...
The purpose of this study is to get a working definition that matches people's intuitive notion of gossip and is sufficiently precise for computational implementation. We con...