Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
—This paper addresses context issues in pervasive mobile computing and presents a semantic context model to support location based cooperative mobile applications. In this paper,...
Decision making lies at the very heart of many psychiatric diseases. It is also a central theoretical concern in a wide variety of fields and has undergone detailed, in-depth, ana...
Quentin J. M. Huys, Joshua T. Vogelstein, Peter Da...
In this paper, we utilize a bandwidth-centric job communication model that captures the interaction and impact of simultaneously co-allocating jobs across multiple clusters. We ma...
William M. Jones, Walter B. Ligon III, Nishant Shr...
We consider a model of analog computation which can recognize various languages in real time. We encode an input word as a point in Rd by composing iterated maps, and then apply i...