它主要有两种分类方法：一种为朴素贝叶斯分类，另一种为贝叶斯信念网络分类。
It is mainly of two kinds, Naive Bayesian Classification and Bayesian Belief Network Classification.
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。
It researches the method for the models evaluation and use, and then introduced the bayesian belief networks to improve the underlying quantitative model.
同时，进一步完善了软件项目开发风险管理流程，并利用贝叶斯网络的信念更新过程实现动态软件项目风险管理。
In addition, the flow of risk management in software project development is adjusted and dynamic risk management of software project is realized using BNs belief update.
同时，进一步完善了软件项目开发风险管理流程，并利用贝叶斯网络的信念更新过程实现动态软件项目风险管理。
In addition, the flow of risk management in software project development is adjusted and dynamic risk management of software project is realized using BNs belief update.
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