摘要
贝叶斯网是一种帮助人们将概率统计应用于复杂领域、进行不确定性推理和数据分析的工具.构建了学生就业贝叶斯网模型,找出就业受择业观念、能力素质、择业技巧、就业心理等因素影响的相互依赖关系,并在学生就业贝叶斯网模型基础上利用簇树进行推理.
The Bayesian network is a tool that helps to apply the probability statistics to the complex domain for the uncertainty inference and the data analysis. The paper constructs the Bayesian network model for the students＇ employment and analyzes the interaction among the factors like career preference, competence and quality, career skills, and employment psychology. The cluster tree of the Bayesian network model is constructed and inferred to provide the employment reference for the students.
出处
《云南民族大学学报（自然科学版）》
CAS
2008年第4期358-361,共4页
Journal of Yunnan Minzu University:Natural Sciences Edition
基金
云南民族大学青年基金"信息技术视野中的云南少数民族文化发展与保护研究"资助项目
"通信原理"省级精品课程建设资助项目
"电子与通信专业实验课程体系研究"教研资助项目([2007]第2号)
关键词
贝叶斯网
学生就业
机器学习
簇树推理
Bayesian network
students＇ employment
machine learning
cluster tree inference
