—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
It is common for libraries to provide public access to historical and ancient document image collections. It is common for such document images to require specialized processing i...
Since the remarkable work of Kocher [7], several papers considering different types of timing attacks have been published. In 2003, Brumley and Boneh presented a timing attack on...
This paper addresses not only the question of testability measurement of OO designs but also focuses on its practicability. While detecting testability weaknesses (called testabil...
Abstract. Quasi-Monte Carlo methods are based on the idea that random Monte Carlo techniques can often be improved by replacing the underlying source of random numbers with a more ...