| 主动学习研究综述 |
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| 引用本文： | 龙军,殷建平,祝恩,赵文涛. 主动学习研究综述[J]. 计算机研究与发展, 2008, 45(Z1): 300-304 |
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| 作者姓名： | 龙军 殷建平 祝恩 赵文涛 |
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| 作者单位： | 国防科学技术大学计算机学院,长沙,410073 |
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| 基金项目： | 国家自然科学基金 , 湖南省自然科学基金 |
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| 摘 要： | 近年来,主动学习成为机器学习领域的研究热点.这一技术通过主动选择要学习的样例从而有效地降低学习算法的样本复杂度.介绍当前主动学习的研究进展,包括主动学习的样本复杂度,样例选择算法和实际应用,最后指出主动学习领域中还保留的开放问题.
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| 关 键 词： | 主动学习 样例选择 |
| 修稿时间： | 2007-07-10 |
A Survey of Active Learning |
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| Long Jun,Yin Jianping,Zhu En,Zhao Wentao. A Survey of Active Learning[J]. Journal of Computer Research and Development, 2008, 45(Z1): 300-304 |
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| Authors: | Long Jun Yin Jianping Zhu En Zhao Wentao |
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| Affiliation: | Long Jun,Yin Jianping,Zhu En,, Zhao Wentao(School of Computer Science,National University of Defense Technology,Changsha 410073) |
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| Abstract: | Recently, active learning has become a hotspot of the research in machine learning. The technology efficiently reduces the sample complex through actively selecting the instance to learn. Introduced in this paper is the latest research progress of active learning, including sample complex, sample selection methods and real world application. Finally, the open problems remained in active learning are pointed out. |
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| Keywords: | active learning instance selection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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