Bayesian learning Theory represents uncertainty with probability and learning and inference are realized by probabilistic rules.

贝叶斯学习理论使用概率去表示所有形式的不确定性，通过概率规则来实现学习和推理过程。

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After the theory and inference mechanism of Bayesian networks was introduced, this paper mainly studies the application of Bayesian networks in emitter's threat level assessment.

以贝叶斯网络及其推理机制为基础，主要研究了贝叶斯网络在辐射源威胁等级评估方面的应用。

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