Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
In this paper, we present a novel approach to exploit the relationships among domain names to improve the cache hit rate for a local DNS server. Using these relationships, an auth...
the extensibility and evolution of network services and protocols had become a major research issue in recent years. The 'programmable' and 'active' network par...
In this paper we show how dialogue-based theories of argumentation can contribute to the construction of effective systems of dispute resolution. Specifically we consider the role ...
In modern communication systems, different users have different requirements for quality of service (QoS). In this work, QoS refers to the average codeword error probability experi...
Lihua Weng, S. Sandeep Pradhan, Achilleas Anastaso...