Abstract— To construct an efficient overlay network, the information of underlay is important. However, the inference of an underlay topology is not easy. We consider using end-...
Abstract— We propose a packet sampling strategy called fixedperiod sampling, which selects at most one packet in every fixedlength period. Under the fixed-period sampling, the...
Abstract. As networks continue to grow in size and complexity, distributed network monitoring and resource querying are becoming increasingly difficult. Our aim is to design, build...
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....