We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Databases contain a large amount of data about metabolic pathways, in particular about similar pathways in different species. Biologists are familiar with visual representations ...
There are two aspects to the work being presented here. The first is a novel persistent index structure for genomic data, a prototype of which has been completed. The second, usin...
In this paper we discuss our work on plan management in the Autominder cognitive orthotic system. Autominder is being designed as part of an initiative on the development of roboti...
Martha E. Pollack, Colleen E. McCarthy, Sailesh Ra...
The demand for data integration is rapidly becoming larger as more and more information sources appear in modern enterprises. In many situations a logical (rather than physical) i...