The Thesis analyses many kinds of Algorithm about Bayesian network structure learning, and then Setting-up a new Algorithm about structure learning Foundation on hydro-electrical simulation system.
本文在分析了多种贝叶斯网络结构学习算法的基础上，并且根据水电仿真的应用背景，提出了一种根据多专家提供的规则库进行贝叶斯网络结构学习的新算法。
We used a Bayesian approach (a contrast-based network meta-analysis method) for indirect analyses and presented the results as posterior median relative risk with 95% credibility intervals.
我们对间接分析采用贝氏方法(以对比为基础的网络统合分析方法)，且以事后中位数相对风险95%贝氏可靠区间来表示结果。
We used a Bayesian approach (a contrast-based network meta-analysis method) for indirect analyses and presented the results as posterior median relative risk with 95% credibility intervals.
我们对间接分析采用贝氏方法(以对比为基础的网络统合分析方法)，且以事后中位数相对风险95%贝氏可靠区间来表示结果。
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