Discovering unknown adverse drug reactions (ADRs) in postmarketing surveillance as early as possible is of great importance. The current approach to postmarketing surveillance prim...
Yanqing Ji, Hao Ying, Margo S. Farber, John Yen, P...
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
This paper presents a distributed planning and control architecture for autonomous Multi-Manipulator Systems (MMS). The control architecture is implemented using an agent-based ap...
Juan C. Fraile, Christiaan J. J. Paredis, Pradeep ...
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
Power control is becoming a key challenge for effectively operating a modern data center. In addition to reducing operating costs, precisely controlling power consumption is an es...