In many business applications, large data workloads such as sales figures or process performance measures need to be monitored in real-time. The data analysts want to catch proble...
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Danie...
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
There exist a wide variety of network design problems that require a traffic matrix as input in order to carry out performance evaluation. The research community has not had at it...
In formation-maintenance (formation control) tasks, robots maintain their relative position with respect to their peers, according to a desired geometric shape. Previous work has e...
Gal A. Kaminka, Ruti Schechter-Glick, Vladimir Sad...
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...