%0 Journal Article
%T Study of SVM-Based Incremental Learning for User Adaptation<br>基于SVM增量学习的用户适应性研究
%A PENG Bin-Bin JIN Xiang-Yu XU Xiao-Gang SUN Zheng-Xing
%A <br>彭彬彬
%A 金翔宇
%A 徐晓刚
%A 孙正兴
%J 计算机科学
%D 2003
%I 
%X User adaptation is a critical and important problem. For users' specialization, such as Handwriting, Voice, Drawing Styles, the system is hard to adapt to all users. SVM-based incremental learning can find the most basic feature of different users and cast away the special user's character, so this method can adapt the different users without over fitting. In this paper, the repetitive learning strategy and other two incremental learning algorithms are presented for comparison. Based on theoretical analysis and experimental results, we draw the conclusion that SVM-based incremental learning can solve the user conflict problem.
%K Support Vector Machine (SVM)
%K Incremental learning
%K Intelligent human-computer interface
%K User conflict
%K User adaptation<br>SVM
%K 增量学习
%K 用户适应性
%K 图形识别
%K 人机交互
%K 支持向量机
%K 机器学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=9365A2A1E551610D&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=80A07035DF96B0C4&eid=9C65ADEB5990B252&journal_id=1002-137X&journal_name=计算机科学&referenced_num=6&reference_num=11