Improved algorithm for text classification based on TSVM

被引：0
|
作者：
Teng, Guifa [1 ]
Liu, Yihong [1 ]
Ma, Jianbin [1 ]
Wang, Fang [1 ]
Ya, Huiting [2 ]
机构：
[1] Agr Univ Hebei, Sch Informat Sci & Technol, Hebei 071001, Peoples R China
[2] Hengshui Informat Off, Hengshui, Hebei, Peoples R China
来源：
ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：55 / +
页数：2
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