In this paper, we investigate the use of a machine-learning based approach to the specific problem of scientific term detection in patient information. Lacking lexical databases w...
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
Abstract. The analysis of usability aspects of multi-user systems, such as cooperative work systems and pervasive systems, pose particular problems because group behavior of their ...
Mieke Massink, Diego Latella, Maurice H. ter Beek,...
Simulation-based training is increasingly being used within the military to practice and develop the skills of successful soldiers. For the skills associated with successful milit...
Andrew Gordon, Michael van Lent, Martin Van Velsen...
The evolving nature of complex traffic issues of IP (Internet Protocol)-based Telecollaboration (TC) business system technology requires an intuitive understanding for the partici...