Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Social reasoning theories, whilst studied extensively in the area of multiagent systems, are hard to implement directly in agents. They often specify properties of beliefs or behav...
—This paper proposes a new strategy, the experience transfer, to facilitate the management of large-scale computing systems. It deals with the utilization of management experienc...
In this paper, we construct two verifiable attribute-based encryption (VABE) schemes. One is with a single authority, and the other is with multi authorities. Not only our schemes ...
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...