... Bayesian Belief Networks 网路 Diagnostic Bayesian Networks 诊断贝叶斯网络 Dynamic Bayesian Networks 动态贝叶斯网络 ...
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贝叶斯网络（Bayesian Nets，简写BNs）也称为贝叶斯信念网络（Bayesian Belief Networks），是一个基于概率的不确定性推理网络。
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1 贝叶斯网络 贝叶斯网络 [13,14] （Bayesian Networks, BN），又称贝叶斯信度网络（Bayesian Belief Networks, BBN）， 是图论与概率论的结合，直观地表示一个因果关系。
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Naïve Bayesand Bayesian Belief Networks 朴素贝叶斯和贝叶斯网络
There are many techniques for data classification such as decision tree induction, Bayesian classification and Bayesian belief networks, association-based classification, genetic algorithms, rough sets, and k-nearest neighbor classifiers.
挖掘分类模式的方法有多种，如决策树方法、贝叶斯网络、遗传算法、基于关联的分类方法、粗糙集和k-最临近方法等等。
参考来源 - 基于决策树的分类方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Firstly, used the Bayesian belief networks(BBN), the risks which had influenced the reliability of soft were analyzed.
首先采用贝叶斯信仰网络对影响软件可信性的风险进行了分析；其次，建立了基于约束满足的风险控制模型。
It researches the method for the models evaluation and use, and then introduced the bayesian belief networks to improve the underlying quantitative model.
研究软件模块排序模型的评估和使用方法，并提出以贝叶斯信念网络改进排序模型的基本定量模型。
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