Application of the probability-based covering algorithm model in text classification
ZHOU Ying; Zhou Ying (Email: zhouying97@yahoo.com.cn)
2009-12-30
发表期刊Chinese Journal of Library and Information Science
ISSN1674-3393
卷号2期号:4页码:1-17
摘要

The probability-based covering algorithm (PBCA) is a new algorithm based on probability distribution. It decides, by voting, the class of the tested samples on the border of the coverage area, based on the probability of training samples. When using the original covering algorithm (CA), many tested samples that are located on the border of the coverage cannot be classified by the spherical neighborhood gained. The network structure of PBCA is a mixed structure composed of both a feed-forward network and a feedback network. By using this method of adding some heterogeneous samples and enlarging the coverage radius, it is possible to decrease the number of rejected samples and improve the rate of recognition accuracy. Relevant computer experiments indicate that the algorithm improves the study precision and achieves reasonably good results in text classification.

关键词Probability-based Covering Algorithm Structural Training Algorithm Probability Text Classification
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项目资助者This work is supported by the Fund for Philosophy and Social Science of Anhui Province and the Fund for Human and Art Social Science of the Education Department of Anhui Province (Grant Nos. AHSKF07-08D13 and 2009sk038).
文献类型期刊论文
条目标识符http://ir.las.ac.cn/handle/12502/5350
专题Journal of Data and Information Science_Chinese Journal of Library and Information Science-2009
通讯作者Zhou Ying (Email: zhouying97@yahoo.com.cn)
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ZHOU Ying,Zhou Ying . Application of the probability-based covering algorithm model in text classification[J]. Chinese Journal of Library and Information Science,2009,2(4):1-17.
APA ZHOU Ying,&Zhou Ying .(2009).Application of the probability-based covering algorithm model in text classification.Chinese Journal of Library and Information Science,2(4),1-17.
MLA ZHOU Ying,et al."Application of the probability-based covering algorithm model in text classification".Chinese Journal of Library and Information Science 2.4(2009):1-17.
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