Bayesian Networks is a model that efficiently represents knowledge and probabilistic inference and is a popular graphics decision-making analysis tool.
贝叶斯网络是在不确定性环境下有效的知识表示方式和概率推理模型，是一种流行的图形决策化分析工具。
Through the analysis of the composite base price and the introduction to the Bayesian decision, the Bayes theorem is led into determining the quoted price with the composite base price.
通过对复合标底特点的分析和对贝叶斯决策的介绍，将贝叶斯决策理论引入确定复合标底的报价之中。
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。
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