The rising awareness of the challenges of preserving information over the long term has led to a wealth of initiatives developing economic models, methods, tools, systems, guideli...
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Data races are among the most reliable indicators of programming errors in concurrent software. For at least two decades, Lamport’s happens-before (HB) relation has served as th...
Yannis Smaragdakis, Jacob Evans, Caitlin Sadowski,...
—There is a growing interest in exploiting interference (rather than avoiding it) to increase network throughput. In particular, the so-called successive interference cancellatio...
Canming Jiang, Yi Shi, Y. Thomas Hou, Wenjing Lou,...
—In this paper, we tackle the spectrum allocation problem in cognitive radio (CR) networks with time-frequency flexibility consideration using combinatorial auction. Different f...