| Boosting算法的理论分析 |
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| 引用本文： | 李军,董元方. Boosting算法的理论分析[J]. 吉林工学院学报, 2008, 29(5): 589-592 |
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| 作者姓名： | 李军 董元方 |
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| 作者单位： | [1]长春理工大学理学院,吉林长春130022 [2]长春理工大学经济管理学院,吉林长春130022 |
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| 摘 要： | 以AdaBoost算法为例介绍Boosting算法,概括其理论分析。回顾了关于Boosting的近期工作,包括AdaBoost训练误差和泛化误差的分析以及AdaBoost在分类问题的扩展。
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| 关 键 词： | 提升 组合学习 分类 数据挖掘 |
Theoretical analysis of Boosting algorithm |
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| LI Jun,DONG Yuan-fang. Theoretical analysis of Boosting algorithm[J]. Journal of Jilin Institute of Technology, 2008, 29(5): 589-592 |
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| Authors: | LI Jun DONG Yuan-fang |
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| Affiliation: | 1.School of Sciences;Changchun University of Science and Technology;Changchun 130022;China;2.School of Economics and Management;China |
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| Abstract: | With the AdaBoost algorithm,the Boosting algorithm and its theory are introduced.We summarize the current works about Boosting,which includes the AdaBoost's training error and generalization error,and the extensions of AdaBoost for classification problems as well. |
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| Keywords: | Boosting ensample learning classification data mining. |
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