贝叶斯网络
变阶贝叶斯网络
图形模型
计算机科学
人工智能
动态贝叶斯网络
贝叶斯概率
机器学习
贝叶斯平均
贝叶斯统计
概率逻辑
领域(数学分析)
贝叶斯程序设计
集合(抽象数据类型)
数据挖掘
贝叶斯推理
数学
数学分析
程序设计语言
出处
期刊:Journal of Northeast Normal University
日期:2002-01-01
被引量:4
摘要
In this paper the method of constructing a Bayesian network is introduced and it is summarized what is the characteristic of Bayesian network and the content and process of learning Bayesian network,meanwhile the forecasting formula is introduced on discrete Bayesian network.There are three basic steps in learning Bayesian network,first is to determine the set and domain of variables;second is to determine the structure of network;third is to determine the local probabilistic distribution.Bayesian network is the graphical model of encoding the assertions of qualitative and quantitative relationships between variables and is a very useful tool for joint analysis and forecasting.
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