| 基于主动学习的分类器融合算法 |
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| 引用本文： | 李会 马红杉 吴迪 王钊 裴丽娜. 基于主动学习的分类器融合算法[J]. 微计算机信息, 2007, 23(1Z): 302-303,282 |
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| 作者姓名： | 李会 马红杉 吴迪 王钊 裴丽娜 |
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| 作者单位： | 齐齐哈尔大学,黑龙江齐齐哈尔市161006 |
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| 基金项目： | 基金项目：项目名称：黑龙江省教育厅科学技术研究（项目编号：10541248） |
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| 摘 要： | 本文提出了基于主动学习的分类融合算法,将度量层输出的分类器融合问题看作二级分类器的设计问题，将SVM主动学习引入二级分类器设计。该算法在有效减少标注代价的同时获得了较高的分类性能。实验证明该算法在分类性能和标注代价两方面都优于传统分类器融合方法。
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| 关 键 词： | 主动学习 分类器 融合算法 |
| 文章编号： | 1008-0570（2007）1-2-0302-02 |
| 修稿时间： | 2006-07-282006-08-24 |
The merging arithmetic of classifier based on active learning |
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| LI HUI MA HONGSHAN WU DI WANG ZHAO PEI LINA. The merging arithmetic of classifier based on active learning[J]. Control & Automation, 2007, 23(1Z): 302-303,282 |
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| Authors: | LI HUI MA HONGSHAN WU DI WANG ZHAO PEI LINA |
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| Abstract: | Classifier combination based on active learning is proposed in this thesis, which deals with the design of classifier combination systems as training a combiner at the aggregation level and introduces SVM active learning into the design of this multi-category decision combiner.This algorithm presented greatly reduces the number of labeled data the classifier system needs in order to active satisfactory performance. Experiments on standard database show that our algorithm performs better than current classifier combination rules when considering both labeling cost an classification accuracy. |
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| Keywords: | Active learning Classifier Merging arithmetic |
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