We empirically evaluate the performance of various reinforcement learning methods in applications to sequential targeted marketing. In particular, we propose and evaluate a progre...
Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bian...
The performance skeleton of an application is a short running program whose performance in any scenario reflects the performance of the application it represents. Specifically, th...
The paper surveys the possible coordination models for mobile agent applications and evaluates them in the context of a widely distributed application in the area of WWW informati...
This paper presents a Feedback Control real-time Scheduling (FCS) framework for adaptive realtime systems. An advantage of the FCS framework is its use of feedback control theory ...
Chenyang Lu, John A. Stankovic, Sang Hyuk Son, Gan...
This paper deals with active tracking of 3D moving targets. Visual tracking is presented as a regulation control problem. The performance and robustness in visual control of motio...