Abstract-Predicting sequential execution blocks of a large scale parallel application is an essential part of accurate prediction of the overall performance of the application. Whe...
Gengbin Zheng, Gagan Gupta, Eric J. Bohm, Isaac Do...
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Abstract. As the scale and scope of multi-agent systems grow, it becomes increasingly important to design and manage the manner in which the participants interact. The potential fo...
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...