We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
We study the expressiveness and performance of full-text search languages. Our main motivation is to provide a formal basis for comparing such languages and to develop a model for...
This paper presents the development of a set of ontologies for use in messaging systems within military and emergency first responder command and control applications. These ontolo...
Duc N. Nguyen, Joseph B. Kopena, Boon Thau Loo, Wi...
Aspect-oriented software development is gaining popularity with the adoption of languages such as AspectJ. Testing is an important part in any software development, including aspe...
Tao Xie, Jianjun Zhao, Darko Marinov, David Notkin
The Neurovisualization Lab at the University of Virginia is developing the Integrated Remote Neurosurgical System (IRNS) to allow mentoring of neurosurgical procedures in remote l...
B. Sean Graves, Joe Tullio, Minyan Shi, J. Hunter ...