Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...
Reliability-aware power management (RAPM) has been a recent research focus due the negative effects of the popular power management technique dynamic voltage and frequency scaling ...
— Context information brings new opportunities for efficient and effective system resource management of mobile devices. In this work we focus on the use of context information t...
Abstract—In cognitive radio networks (CRNs), detecting smallscale primary devices, such as wireless microphones, is a challenging, but very important, problem that has not yet be...
We present two Bayesian algorithms CD-B and CD-H for discovering unconfounded cause and effect relationships from observational data without assuming causal sufficiency which prec...
Subramani Mani, Constantin F. Aliferis, Alexander ...