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。
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。
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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