—Many graph visualization systems use graph hierarchies to organize a large input graph into logical components. These approaches detect features globally in the data and place t...
Co-located collaboration can be extremely valuable during complex visual analytics tasks. This paper presents an exploratory study of a system designed to support collaborative vi...
Petra Isenberg, Danyel Fisher, Meredith Ringel Mor...
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
The role that social interactions play in the purchase decisions of consumers is of growing interest to marketers. Consumers' decisions not only depend on information they re...
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...