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18th International Conference on Pattern Recognition (ICPR'06) Volume 1
An Efficient SVM Classifier for Lopsided Corpora
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
XianFei Zhang, Zhengzhou Information Science & Technology Institute, China
BiCheng Li, Zhengzhou Information Science & Technology Institute, China
Wang Shi, BeiJing the Second Foreign Language University, China
Luo Cheng, Zhengzhou Information Science & Technology Institute, China
This paper explores application of SVM to lopsidedcorpora in text categorization. By means of integrating kernel caching with shrinking policies effectively, an improved SVM training algorithm for weightcalculation formula is proposed under the decomposition framework. Extensive experiments on lopsided-corpora have been conducted. The conclusion can make it possible to apply the improved SVM training algorithm to lopsided corpora in text categorization.
Citation:
XianFei Zhang, BiCheng Li, Wang Shi, Luo Cheng, "An Efficient SVM Classifier for Lopsided Corpora," icpr, vol. 1, pp.1144-1147, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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