Latest News and Events

The SAMSI-FODAVA Workshop on Interactive Visualization and Analysis of Massive Data will be held on December 10-12, 2012.
Posted: October 02, 2012
The FODAVA Annual Meeting will immediately follow (Dec 12-13) the SAMSI/FODAVA joint workshop at the same location.
Posted: September 05, 2012
Many of the modern data sets such as text and image data can be represented in high-dimensional vector spaces and have benefited from computational methods that utilize advanced techniques from num
Posted: June 30, 2012

Algorithms and a Visual Interface to Support Query Learning Under Uncertainty

Clayton Scott

Query learning addresses the problem of identifying a cause from observable effects, while making as few observations (queries) as possible. Many real-world applications have characteristics that do not fit the traditional query learning setup, such as persistent observation noise, and non-uniquely identifiable causes. We will present new query learning algorithms and a visual interface to support decision making under such conditions, and illustrate this system with an application to emergency response.