Using conservative estimation for conditional probability instead of ignoring infrequent case

M. Kikuchi, E. Yamamoto, Mitsuo Yoshida, Masayuki Okabe, Kyoji Umemura
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引用次数: 3

Abstract

There are several estimators of conditional probability from observed frequencies of features. In this paper, we propose using the lower limit of confidence interval on posterior distribution determined by the observed frequencies to ascertain conditional probability. In our experiments, this method outperformed other popular estimators.
对条件概率采用保守估计,而不是忽略不常见情况
有几种根据观察到的特征频率来估计条件概率的方法。本文提出用观测频率决定的后验分布置信区间下限来确定条件概率。在我们的实验中,该方法优于其他流行的估计器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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