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First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06)
Improved Algorithm for Text Classification Based on TSVM
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
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Guifa Teng, Yihong Liu, Jianbin Ma, Fang Wang, Huiting Yao, "Improved Algorithm for Text Classification Based on TSVM," Innovative Computing ,Information and Control, International Conference on, vol. 2, pp. 55-58, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICICIC.2006.298,
author = {Guifa Teng and Yihong Liu and Jianbin Ma and Fang Wang and Huiting Yao},
title = {Improved Algorithm for Text Classification Based on TSVM},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {2},
year = {2006},
isbn = {0-7695-2616-0},
pages = {55-58},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.298},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - Improved Algorithm for Text Classification Based on TSVM
SN - 0-7695-2616-0
SP55
EP58
A1 - Guifa Teng,
A1 - Yihong Liu,
A1 - Jianbin Ma,
A1 - Fang Wang,
A1 - Huiting Yao,
PY - 2006
KW - null
VL - 2
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Guifa Teng, Agricultural University of Hebei, China
Yihong Liu, Agricultural University of Hebei, China
Jianbin Ma, Agricultural University of Hebei, China
Fang Wang, Agricultural University of Hebei, China
Huiting Yao, Agricultural University of Hebei, China
TSVM (Transductive Support Vector Machines) tries to minimize misclassification of these particular examples based on a particular test set. It is more practical and performs well on classification. In this paper, a progressive SVM is introduced briefly and an improved algorithm for text classification named double transductive inference algorithm based on TSVM is presented in detail. The experimental results on e-mail classification show that this improved algorithm is effective on a mixed training set of a small number of unlabeled examples and a large number of labeled examples.
Citation:
Guifa Teng, Yihong Liu, Jianbin Ma, Fang Wang, Huiting Yao, "Improved Algorithm for Text Classification Based on TSVM," icicic, vol. 2, pp.55-58, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006
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