The next generation of computing systems will be embedded, in a virtually unbounded number, and dynamically connected. The current software, network architectures, and their assoc...
In this paper, we describe and evaluate a scalable network of Active Elements (AE) that implements userempowered virtual-multicast overlay network for synchronous data distributio...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Abstract. Large graphs involving millions of vertices are common in many practical applications and are challenging to process. Practical-time implementations using high-end comput...
To date, systems offering multitasking for the JavaTM programming language either use one process or one class loader for each application. Both approaches are unsatisfactory. Usi...