For many years, researchers and software developers have been seeking to develop systems and applications to enable efficient and effective group work and organizational memory. ...
Enterprises often need to assess and manage the risk arising from uncertainty in their data. Such uncertainty is typically modeled as a probability distribution over the uncertain...
Peter J. Haas, Christopher M. Jermaine, Subi Arumu...
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
Alexander T. Ihler, John W. Fisher III, Alan S. Wi...
The problem addressed in this paper deals with data sharing as a means to cooperate. Our main focus is on transactional mechanisms to manage concurrent accesses to (partially) sha...
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...