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Loss tomography aims to obtain the loss rate of each link in a network by end-to-end measurements. If knowing the loss model of a link, we deal with a parametric estimate problem with incomplete data. Maximum likelihood estimate (MLE) is often used in this situation to identify the unknown parameters in the loss model, but it relies on the iterative approximation to identify the parameters that requires...
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