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主动支持向量机的研究及其在蒙文文本分类中的应用 被引量：2

Study of Active Learning Support Vector Machine and Its Application on Mongolian Text Classification
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摘要 介绍了一种用支持向量机(SVM)进行主动学习的方法,解决在某些机器学习问题中,训练样本获取代价过大带来的问题.与普通的SVM方法相比,该方法所需的样本量大大降低,而且可能达到更好的推广能力,在蒙文文本分类中的应用说明了该算法的有效性. An active learning method using SVM is described. It is used to solve the problem of the excessive expenses caused by obtaining the examples in the machine learning. Comparing with the general SVM, it greatly reduces the number of samples, and probably reaches higher generalization ability. Its application on Mongolian text classification shows a successful example.
作者 贺慧 王俊义
机构地区 内蒙古大学计算机学院
出处 《内蒙古大学学报（自然科学版）》 CAS CSCD 北大核心 2006年第5期560-563,共4页 Journal of Inner Mongolia University：Natural Science Edition
基金 内蒙古自然科学基金资助项目(批准号:200408020805) 国家自然科学基金资助项目(批准号:60063001)
关键词 支持向量机(SVM) 主动学习 蒙文文本分类 support vector machines active learnings Mongolian text classification
分类号 TP301 [自动化与计算机技术—计算机系统结构]
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参考文献6

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  • 2Hu Yuhen.From Pattern Classification to Active Learning[J].IEEE Signal Processing Magazine,1997,11:39～43.
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同被引文献17

  • 1张彰,樊孝忠.一种改进的基于VSM的文本分类算法[J].计算机工程与设计,2006,27(21):4078-4080. 被引量：8
  • 2LV lin, LIU Yushu. Research of English text classification methods based on semantic meaning[ C ]//2005 Internation- al Conference on ln~brmation and Communication Tec, hnolo- gies. Karachi, Pakistan, 2005: 689-700.
  • 3JOACHIMS T. Text categorization with support vector ma- chines : learning with many relevant features [ C ]//Proceed- ings of the 10th European Conference on Machine Learning (ECML-98). Chemnitz, Germany: Springer Verlag, 1998 : 137-142.
  • 4VAPNIK V N. Statistical learning theory [ M ]. New York, USS: John Wiley & Sons Inc, 1998: 375-570.
  • 5SEBASTIANI F. Machine learning in automated text catego- rization[ J ]. ACM Computing Surveys, 2002, 34 ( 1 ) : 1- 47.
  • 6TONG S, KOLLER D. Support vector machine active learn- ing with applications to text classification [ J ] Journal of Machine Learning Research, 2001, 2( 1 ) : 45-66.
  • 7BURGES J C. A tutorial on support vector machines for pat- tern recognition[J ]. Data Mining and Knowledge Discover- y, 1998, 2(2): 121-167.
  • 8PLATI" J C, CRISTIANINI N, SHAWE-TAYLOR J. Large margin DAGs for multiclass classification [ C ]//Proceed- ings of Neural Information Processing Systems. Cambridge, USA: MIT Press. 2000 : 547-553.
  • 9SCHOHN G, COHN D. Less is more: active learning with support vector machines [ C ]//Proceedings of the Seven- teenth International Conference on Machine Learning (IC- ML-2000). Stanford, USA, 2000 : 839-846.
  • 10朱红斌,蔡郁.基于主动学习支持向量机的文本分类[J].计算机工程与应用,2009,45(2):134-136. 被引量：12

引证文献2

二级引证文献7

内蒙古大学学报（自然科学版）
2006年 第5期

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