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
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.242
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||