On the base of statistics, the bayes network is a method of data mining.
贝叶斯网络以统计学为基础，是数据挖掘技术的一种方法。
By combining BAYES theory with fuzzy comprehension evaluation method, this paper suggests a new method to determine the distribution of rock parameters.
用模糊综合评判方法与BAYES理论相结合，给出由小样本试验数据确定岩土参数的概率分布。
A method for evaluating the Bayes Judge function is also presented.
同时还给出了一种估算评判子函数的方法。
A new method of empirical Bayes reliability evaluation for the binomial distribution is presented and its performance is studied.
为了解决引信可靠性评估中子样容量小与可靠性高的尖锐矛盾，本文研究了经验贝叶斯方法。
Naive Bayes classifier is a simple and effective classification method based on probability theory, but its attribute independence assumption is often violated in the real world.
朴素贝叶斯分类器是一种简单而有效的概率分类方法，然而其属性独立性假设在现实世界中多数不能成立。
This paper proposes a method of denoising by the use of jointing Bayes estimation and scale space filtering.
提出了一种贝叶斯估计和尺度空间滤波相结合的滤波方法。
Based on Grey system theory and Bayes theory, a new method on structural damage prediction of seismic disasters is established.
本文提出了一种结构物震害预测的新方法。
A method based on the bayes and machine readable dictionary was proposed, which could disambiguate by the training of a small-scale corpus and the definition of semantic in machine dictionary.
提出了一种基于贝叶斯分类与机读词典的多义词排歧方法，通过小规模语料库的训练和歧义词在机读词典中的语义定义来完成歧义的消除。
When using the traditional bayes method to filter spam, it treats email as a vector space out of order, deserting the relation of the words and the sentences.
传统的贝叶斯方法对邮件进行过滤时，将邮件视为一个无序关键词的向量空间。丢掉了词与词之间，句子之间的相互关系。
In this paper, a Bayes decision rule is derived for the scale-exponential family with error in variables, and an empirical Bayes (EB) decision rule is constructed by a deconvolution kernel method.
本文获得了刻度指数族变量带误差情形下的贝叶斯决策，且利用解卷积的核方法构造出了经验贝叶斯决策。
A new supervised discretization method is proposed, which is based on Bayes measure to automatically find the most appropriate boundaries for discretization and the number of intervals.
它能够在无先验知识的前提下，自动寻求最佳的离散子区间数目和区间划分。
Naive Bayes classifier is a simple and effective classification method. Classifying based on Bayes Technology has got more and more attentions in the field of data mining.
朴素贝叶斯分类器是一种简单而高效的分类器，基于朴素贝叶斯技术的分类是当前数据挖掘领域的一个研究热点。
Naive Bayes classifier is a simple and effective classification method, but its attribute independence assumption makes it unable to express the dependence among attributes in the real world.
朴素贝叶斯分类器是一种简单而高效的分类器，但是其属性独立性假设限制了对实际数据的应用。
Naive Bayes classifier is a simple and effective classification method, but its attribute independence assumption makes it unable to express the dependence among attributes in the real world.
朴素贝叶斯分类器是一种简单而高效的分类器，但是其属性独立性假设限制了对实际数据的应用。
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