Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
Hybrid systems like computer-controlled chemical plants are typical safety critical distributed systems. In present practice, the safety of hybrid systems is guaranteed by hazard ...
Formal models of geographic space should support reasoning about its static and dynamic properties, its objects, their behaviors, and the relationships between them. Image schemas,...
This paper describes a modeling and simulation framework called VisualSense for wireless sensor networks that builds on and leverages Ptolemy II. This framework supports actor-ori...
Philip Baldwin, Sanjeev Kohli, Edward A. Lee, Xiao...
The emergence of pervasive networked data sources, such as web services, sensors, and mobile devices, enables context-sensitive, mobile applications. We have developed a programmi...
Norman H. Cohen, Hui Lei, Paul Castro, John S. Dav...