We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
In this paper, we tackle challenges in migrating enterprise services into hybrid cloud-based deployments, where enterprise operations are partly hosted on-premise and partly in th...
Mohammad Y. Hajjat, Xin Sun, Yu-Wei Eric Sung, Dav...
The problem of estimating the capacity of an Internet path is one of fundamental importance. Due to the multitude of potential applications, a large number of solutions have been ...
Rohit Kapoor, Ling-Jyh Chen, Alok Nandan, Mario Ge...
As silicon technologies move into the nanometer regime, transistor reliability is expected to wane as devices become subject to extreme process variation, particle-induced transie...
Kypros Constantinides, Stephen Plaza, Jason A. Blo...
We developed an augmented reality (AR) dental training simulator utilizing a haptic (force feedback) device. A number of dental procedures such as crown preparation and opening ac...