(1)推理网络模型(Inference Network Model) 频度论和认识论是概率论的两个学派。频度论把概率看作是与概率定律相关的统计 概念,而认识论观点则把概率看作是一种信任度。
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贝叶斯网络是目前不确定知识和推理领域最有效的理论模型之一。
Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.
以特征信息结构树为基础,对贝叶斯网络模型进行推理,来获得客户需求的兴趣集中点。
Through reasoning Bayesian network model based on the features information construction tree of client requirement, the client requirement concentration is acquired.
在研究现有文本信息检索技术的基础上,设计了基于推理网络的文本检索模型。
By the research on the existent IR (Information retrieval) technology, a text retrieval model based on inference network is designed.
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