Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
The growing popularity of aspect-oriented languages, such as AspectJ, and of corresponding design approaches, makes it important to learn how best to modularize programs in which ...
Kevin J. Sullivan, William G. Griswold, Yuanyuan S...
The specification of model adaptation and generation rules is a topic of great interest for the user interface development community, since there are more and more approaches supp...
The contribution presented herein proposes an adaptive genetic algorithm applied to quantum logic circuit synthesis that, dynamically adjusts its control parameters. The adaptation...
Cristian Ruican, Mihai Udrescu, Lucian Prodan, Mir...
Noise affects circuit operation by increasing gate delays and causing latches to capture incorrect values. This paper proposes a method of characterizing correlation of signal tra...
Donald Chai, Alex Kondratyev, Yajun Ran, Kenneth H...