This paper presents a knowledge approach to designing team training systems using intelligent agents. We envision a computer-based training system in which teams are trained by pu...
Jianwen Yin, Michael S. Miller, Thomas R. Ioerger,...
We present a new software technology for on-line performance analysis and visualization of complex parallel and distributed systems. Often heterogeneous, these systems need capabi...
Aleksandar M. Bakic, Matt W. Mutka, Diane T. Rover
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
This paper describes work in progress to develop a standard for interoperability among high-performance scientific components. This research stems from growing recognition that th...
Robert C. Armstrong, Dennis Gannon, Al Geist, Kata...
a useful abstract representation is fundamental to solving many difficult problems in software engineering. In order to better understand how representations are actually used in ...