This thesis gives a introduction to the concept of Bayesian networks, and gives one example, the method and process is presented to Bayesian networks inference.
介绍了贝叶斯网络的概念，给出一个实例，分析了贝叶斯网络推理的方法和过程。
Cyclic Bayesian network provides modeling method and inference algorithms for the management of software project iterative process risk.
有环贝叶斯网络的研究，为管理软件项目迭代过程风险提供了建模方法和模型求解算法。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields(MRFs) models.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的最大后验概率估计。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields (MRFs) models.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的量大后验概率估计。
By the inference mechanism based on Bayesian Networks, a modeling process of fault diagnosis system of AUV and the optimizing method of fault diagnosis strategy are given.
并通过基于贝叶斯网络的推理机制，给出了智能水下机器人故障诊断系统的建模过程以及对诊断策略的优化方案。
Threat assessment is an inference based on the truth and rules, and that Bayesian network provides a method for natural casual description.
威胁估计是基于客观事实和规则的因果推理判断，而贝叶斯网络提供了一种自然的表示因果关系的手段。
Threat assessment is an inference based on the truth and rules, and that Bayesian network provides a method for natural casual description.
威胁估计是基于客观事实和规则的因果推理判断，而贝叶斯网络提供了一种自然的表示因果关系的手段。
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