Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
Abstract. The trend towards cloud and utility computing infrastructures raises challenges not only for application development, but also for management: diverse resources, changing...
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
We study the impact of user association policies on flow-level performance in interference limited wireless networks. Most research in this area has used static interference model...
This article proposes a new distributed architecture for update message exchange in massively multi-user virtual environments (MMVE). MMVE applications require delivery of updates...