In "A Plan for Spam" (see Resources later in this article), Graham suggested building Bayesian probability models of spam and non-spam words.
在“APlanforSpam”（请参阅本文后面的 参考资料）中，Graham提议建立垃圾邮件和非垃圾邮件单词的贝叶斯概率模型。
Bayesian network as, a very useful tool in data mining, can provide qualitative and quantitative relationship between attributes and probability inference.
贝叶斯网络是数据采掘的一个非常有效的工具，它能够定性和定量地分析属性之间的依赖关系，进行概率推理。
Based on the Bayesian theory, a probability method was proposed to estimate the parameters of the Poisson curve.
基于贝叶斯理论，提出采用概率的方法来估计泊松曲线的参数。
According to the uncertain characteristics of information in virtual enterprise, the Bayesian network is used to identify its risk probability.
根据动态联盟企业信息具有不确定性的特点，应用贝叶斯网络对企业的风险概率进行识别。
Then a Bayesian network model is built for all these queries, and the probability formula of each structured query given the document collection is inferred in the model.
对这些查询建立贝叶斯网络模型，通过模型推导出各个查询在当前文档集合下的概率公式。
Bayesian learning Theory represents uncertainty with probability and learning and inference are realized by probabilistic rules.
贝叶斯学习理论使用概率去表示所有形式的不确定性，通过概率规则来实现学习和推理过程。
Bayesian is one kind of method of posteriori probability obtained from priori probability according to new information.
贝叶斯方式是依据新的信息从先验概率得到后验概率的一种方式。
Bayesian learning is a probability method that makes optimal decision based on known probability distribution and recently observed data.
贝叶斯学习是一种基于已知的概率分布和观察到的数据进行推理，做出最优决策的概率手段。
Each probability items in the Bayesian framework have the specific meanings.
该框架下每个概率项都有其具体的含义。
Bayesian model is a computational model, not a descriptive model. Hence, it's also returned to the probability interpretation.
贝叶斯模型是一种计算模型，而不是描述模型，所以，也有人将其单独归为概率解释。
The probability updating algorithm for acyclic Temporal Bayesian network based on model simplification and general probability updating algorithm for Temporal Bayesian network are presented.
其中在时间贝叶斯网络研究中，分别提出了适用于非循环时间贝叶斯网络的基于模型化简的概率更新算法和一般概率更新算法。
This paper works out with a new method of network security assessment based on Bayesian privilege graph which is a combination of graph theory and probability.
本文在上述几类网络安全评估方法的基础之上，结合图论以及概率学的知识，提出了基于贝叶斯网权限图的网络安全评估方法。
Values of Bayesian posterior probability greater than 0.8 are shown at the nodes.
先验概率值大于0.8的标在了分支节点处。
A probability model based on Bayesian principles is given to measure the semantic association from a concept to its direct-related concept in domain ontology.
根据贝叶斯定理提出一种衡量领域本体中概念间语义相关度的概率模型。
In the paper, we use the statistical theory to calculate the probability of video semantics by Bayesian formula, choose the semantic of maximal probability to label the unlabeled samples.
文中采用统计学理论，利用贝叶斯概率公式计算视频语义出现的概率，选取概率最大的类别标注未标记的样本。
Under the law of maximum shoddy probability, it will have more practical significance for the probabilistic analysis of degree of compaction to use decision analysis and Bayesian method.
在最大次品率准则下，应用了决策分析和贝叶斯方法，从而使本文的分析研究更具实际意义。
Statistical computer programs use Bayesian methods to calculate the probability of the impact of certain predicted events on oil.
统计计算机程序使用贝叶斯模型计算某些已经预测事件对石油的影响。
Bayesian network is developed by the integration of probability with graph theory. It provides a natural tool for dealing with problem of uncertainty.
贝叶斯网络将概率理论和图论相结合，为解决不确定性问题提供了一种自然而直观的方法。
Bayesian network is developed by the integration of probability with graph theory. It provides a natural tool for dealing with problem of uncertainty.
贝叶斯网络将概率理论和图论相结合，为解决不确定性问题提供了一种自然而直观的方法。
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