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US07937339B2 Method and apparatus for using bayesian networks for localization 失效
使用贝叶斯网络进行定位的方法和装置

Method and apparatus for using bayesian networks for localization
Abstract:
The invention is a technique for performing sampling in connection with Markov Chain Monte Carlo simulations in which no attempt is made to limit the selected samples to a selected slice of the entire sample domain, as is typical in Markov Chain Monte Carlo sampling. Rather, samples are taken from the entire domain and any samples that fall below a randomly selected probability density level are discarded.
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