| 贝叶斯网络中的贝叶斯学习 |
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| 引用本文： | 胡振宇,林士敏. 贝叶斯网络中的贝叶斯学习[J]. 广西科学院学报, 2000, 0(S1): 145-150 |
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| 作者姓名： | 胡振宇 林士敏 |
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| 作者单位： | 广西师范大学计算机科学系 桂林 541004,广西师范大学计算机科学系 桂林 541004 |
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| 摘 要： | 从机器学习的角度研究贝叶斯方法及其学习机制,着重讨论了具有完整数据、不完整数据集,及在结构不确定时贝叶斯网络进行学习的方法,表明贝叶斯网络在数据采掘中是一个有力的工具,文后给出一个基于贝叶斯网络的学习的实例。
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| 关 键 词： | 贝叶斯网络 贝叶斯学习 机器学习 数据采掘 |
| 收稿时间： | 2000-09-01 |
Bayesian Learing of Bayesian Network |
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| Hu Zhenyu and Lin Shimin. Bayesian Learing of Bayesian Network[J]. Journal of Guangxi Academy of Sciences, 2000, 0(S1): 145-150 |
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| Authors: | Hu Zhenyu and Lin Shimin |
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| Affiliation: | Dept. of Computer Science, Guangxi Normal University, Guilin, 541004 and Dept. of Computer Science, Guangxi Normal University, Guilin, 541004 |
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| Abstract: | The Bayesian method and its learning mechanism from the view of machine learning is explored. The Bayesian leaning approaches for different conditions such as complete data, incomplete data as well as uncertain network structure are discussed. It shows that Bayesian network is a powerful tool in data mining. An example from reality is given. |
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| Keywords: | Bayesian approach Bayesian network machine learning data mining |
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