西华大学学报（自然科学版）Issue(5)：1-6,6.DOI:10.3969/j.issn.1673-159X.2014.05.001
一种安全的基于分歧的半监督分类算法
A Safe Semi-supervised Classification Algorithm Based on Disagreement
摘要
Abstract
In order to improve the performance of semi-supervised classifier , a safe disagreement-based semi-supervised classifica-tion algorithm named Safe Co-SSC was proposed .The limited labeled samples were divided into three equal training sets and used to train three classifiers by a supervised learning algorithm .A large number of unlabeled samples were used to increase the differences be-tween the classifiers and the weighted voting strategy was used to achieve pseudo -labeled for unlabeled samples .Passing through sec-ondary verification, the ones making classifier error minimum were added into the labeled samples set .Finally, the experiment was car-ried out on the UCI data set , the results showed that the proposed algorithm had higher classification rate and sample labeling rate .关键词
半监督学习/分类/安全性/分歧Key words
semi-supervised learning/classification/safety/disagreement分类
信息技术与安全科学引用本文复制引用
赵建华..一种安全的基于分歧的半监督分类算法[J].西华大学学报（自然科学版）,2014,(5):1-6,6.基金项目
陕西省教育厅科研计划项目（12JK0748）；商洛学院科研基金（10sky1001）。 （）
