| 一种改进的半监督增量SVM学习算法 |
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| 引用本文： | 吕宏伟.一种改进的半监督增量SVM学习算法[J].科学技术与工程,2010,10(1). |
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| 作者姓名： | 吕宏伟 |
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| 作者单位： | 武警工程学院,西安,710086 |
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| 基金项目： | 国家科技部高新司项目(2005EJ000006)资助 |
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| 摘 要： | 通过分析现有SVM的两种改进算法:半监督学习算法和增量学习算法,给出了对现有的增量学习算法的改进,提出了一种新的半监督增量SVM学习算法,将其应用于Web文本分类中,并验证了半监督增量SVM学习算法的有效性和可行性。
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| 关 键 词： | 支持向量机 半监督学习 增量学习 Web文本分类 |
| 收稿时间： | 9/24/2009 5:19:45 PM |
| 修稿时间： | 2009/10/12 0:00:00 |
An Refinement Algorithm of Semisupervised-Incremental SVM Learning |
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| lv hongwei.An Refinement Algorithm of Semisupervised-Incremental SVM Learning[J].Science Technology and Engineering,2010,10(1). |
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| Authors: | lv hongwei |
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| Institution: | Engineering College of the Armed Police Forces/a>;Xi'an 710086/a>;P.R.China |
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| Abstract: | SVM has a good performance in pattern classification.According to the analysis of the two present refinement algorithms about SVM:Semisupervised Learning and Incremental Learning,an improved algorithm of present Incremental Learning algorithm is gavn.A new algorithm of semisupervised-Incremental SVM learning is given out.Also this new algorithm is used in Web text classification. |
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| Keywords: | SVM semisupervised learning incremental learning Web text classification |
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