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首页> 外文会议>International Conference on Management, Education, Information and Control >The Features of the Statistic Counting Model for Its Application to Estimate the Probability
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The Features of the Statistic Counting Model for Its Application to Estimate the Probability

机译：统计计数模型的特征估算概率

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摘要

The statistic method is widely used to analyze the statistic features hiding behind the various data. Some famous algorithms such as Ls, LMS are based on the statistic models. Actually on the basis of the description length theory, the statistic model can be considered as the judgment system which should hold different description complexity. It implies that the corresponding features of the statistic model under description length theory are different from these characters under the numerical area. In this paper, three basic features of statistic model are discussed under the minimum description length criterion. They are description complexity, similarity measure and the adding criterion. The corresponding derivations and the discussions are also given. These features can help increasing the efficiency of the estimation of the probability distributions.
机译：统计方法广泛用于分析隐藏在各种数据后面的统计特征。一些着名的算法，如LS，LMS基于统计模型。实际上在描述长度理论的基础上，统计模型可以被视为应该保持不同描述复杂性的判断系统。它意味着描述长度理论下的统计模型的相应特征与数值区域下的这些字符不同。在本文中，在最小描述长度标准下讨论了统计模型的三个基本特征。它们是描述复杂性，相似度测量和添加标准。还给出了相应的推导和讨论。这些特征可以帮助提高概率分布估计的效率。

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