In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
In tasks that require listeners to monitor two or more simultaneous talkers, substantial performance benefits can be achieved by spatially separating the competing speech messages...
The construction of distributed applications is a challenging task due to inherent system properties like message passing and concurrency. Current technology trends further increas...
In the business world, analyzing and dealing with risk permeates all decisions and actions. However, to date, risk identification, the first step in the risk management cycle, has...