Filters: Date: "2005-01-20" Collection: ir_uspace
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Henderson, Thomas C. | Monte Carlo sensor networks | Biswas et al. [1] introduced a probabilistic approach to inference with limited information in sensor networks. They represented the sensor network as a Bayesian network and performed approximate inference using Markov Chain Monte Carlo (MCMC). The goal is to robustly answer queries even under no... | Monte Carlo sensor networks; Markov Chain Monte Carlo; MCMC | 2005-01-20 |
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