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Distributed information inference in wireless sensor networks is of significant importance for many real-world applications in which graphical modeling of a deployed wireless sensor network is fundamental. One critical issue faced today is how to learn the graphical model parameters of a deployed sensor network as efficiently as possible, since it is usually expensive or even impossible to collect...
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