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mytfr
- 这是人工智能不确定性推理中贝叶斯方法的程序，是用VC++做的。由于是学生实验，所以比较简单。-It is the uncertain reasoning in artificial intelligence--Bayesian approach procedure 。I s done with VC++. As is the student experiment, it is more simple.
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- 基于贝叶斯网络的不确定环境装备故障推理模型.-Uncertain environment based on Bayesian network inference model equipment failure.
e
- 基于贝叶斯网络的不确定环境装备故障推理模型-Uncertain environment based on Bayesian network inference model fault equipment
Bayes-classifier
- 贝叶斯分类器:贝叶斯分类的基础是概率推理，就是在各种条件的存在不确定，仅知其出现概率的情况下，如何完成推理和决策任务。-Bayesian classifier
StructureLearningLibraries-master
- 贝叶斯网络又称信度网络，是Bayes方法的扩展，是目前不确定知识表达和推理领域最有效的理论模型之一。从1988年由Pearl提出后，已经成为近几年来研究的热点.。一个贝叶斯网络是一个有向无环图(Directed Acyclic Graph,DAG),由代表变量结点及连接这些结点有向边构成(Bayesian network, also known as belief network, is an extension of Bayes method and one of the most effec