%0 Journal Article
%T Transfer Learning Algorithm for Text Classification Based on Clustering<br>一种基于聚类的文本迁移学习算法
%A DU Jun-Wei
%A LI Ai-Jun
%A <br>杜俊卫
%A 李爱军
%J 计算机系统应用
%D 2010
%I 
%X Transfer learning can improve the performance of classifier effectively, when the training data are out of date, but the new data are very few. In this paper, we propose a transfer learning algorithm for text classification based on clustering. We describe the main idea and the step of the algorithm. Then have experiment on text corpus of Chinese, and compare the algorithm with transfer-unaware algorithm. The experiments demonstrate that this algorithm significantly outperforms the others.
%K training data are out of date
%K new data are very few
%K transfer learning
%K clustering
%K text<br>训练数据过期
%K 新数据非常少
%K 迁移学习
%K 聚类
%K 文本
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=4B8455E1E747D31CDCE8BCCB6DCF1693&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=59906B3B2830C2C5&sid=9CA95D22FC1D537C&eid=6A73B36E85DB0CE9&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=12