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- W2023722026 abstract "Network tomography is a promising inference technique for network topology from end-to-end measurements. In this letter, we propose a novel binary tree pruning algorithm based on t-test to infer the network topology. A binary tree topology is first inferred using the existing Agglomerative Likelihood Tree (ALT) method, and then two samples t-test is applied to prune the binary tree, thus a general tree corresponding to the real topology is obtained. A lower bound on the correctly identified probability of the proposed method is derived. Simulation results show that the pruning method based on t-test outperforms the method which prunes the binary tree using a fixed threshold." @default.
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- W2023722026 date "2014-06-01" @default.
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- W2023722026 title "Topology Inference With Network Tomography Based on t-Test" @default.
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- W2023722026 doi "https://doi.org/10.1109/lcomm.2014.2317743" @default.
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