Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
In this paper we extend the study of flow-energy scheduling to a model that allows both sleep management and speed scaling. Our main result is a sleep management algorithm called I...
Tak Wah Lam, Lap-Kei Lee, Hing-Fung Ting, Isaac Ka...
In this pilot study, we developed a set of computer vision based surface segmentation and statistical shape analysis algorithms to study genetic influences on brain structure in a...
Meena Mani, Yi-Yu Chou, Natasha Lepore, Agatha D. ...
The network lifetime for wireless sensor network plays an important role to survivability. Thus, we indicate the importance of routing protocol to network lifetime, and model the ...
Chih-Wei Shiou, Frank Yeong-Sung Lin, Hsu-Chen Che...
Wireless sensor networks have stringent constraints on system resources and data aggregation techniques are critically important. However, accurate data aggregation is difficult ...