Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
We consider the problem of multiclass classification where both labeled and unlabeled data points are given. We introduce and demonstrate a new approach for estimating a distribut...
We describe and evaluate a system for learning domainspecific control knowledge. In particular, given a planning domain, the goal is to output a control policy that performs well ...
Abstract— Previous work has introduced probability distributions as first-class components in uncertain stream database systems. A lacking element is the fact of how accurate the...
Users of distributed systems such as the TeraGrid and Open Science Grid can execute their applications on many different systems. We wish to help such users, or the grid scheduler...