Abstract. We propose a theory of time-bounded verification for realtime systems, in which verification queries are phrased over time intervals of fixed, bounded duration. We argue ...
We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in...
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
— There is a need for new spectrum access protocols that are opportunistic, flexible and efficient, yet fair. Game theory provides a framework for analyzing spectrum access, a ...
Juan E. Suris, Luiz A. DaSilva, Zhu Han, Allen B. ...
This paper presents a modular optimization framework for custom digital circuits in the power – performance space. The method uses a static timer and a nonlinear optimizer to max...