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METHOD AND APPARATUS FOR USING BAYESIAN NETWORKS FOR LOCALIZATION

机译:贝叶斯网络用于本地化的方法和装置

摘要

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.
机译:本发明是一种结合马尔可夫链蒙特卡洛模拟进行采样的技术,其中没有像马尔可夫链蒙特卡洛采样中那样典型地试图将所选样本限制为整个样本域的所选切片。而是从整个域中获取样本,并且丢弃低于随机选择的概率密度水平的所有样本。

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