Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Within the Bluetooth mobile space, overwhelmingly large sets of interaction and encounter data can very quickly be accumulated. This presents a challenge to gaining an understandi...
Daragh Byrne, Barry Lavelle, Gareth J. F. Jones, A...
—Volume navigation is the interactive exploration of volume data sets by “flying” the viewpoint through the data, producing a volume rendered view at each frame. We present a...
Martin L. Brady, Kenneth K. Jung, H. T. Nguyen, Th...
Multi-relational networks are used extensively to structure knowledge. Perhaps the most popular instance, due to the widespread adoption of the Semantic Web, is the Resource Descr...