计算机科学
計算機科學
계산궤과학
COMPUTER SCIENCE
2003年
3期
75-79
,共5页
彭彬彬%金翔宇%徐晓刚%孙正兴
彭彬彬%金翔宇%徐曉剛%孫正興
팽빈빈%금상우%서효강%손정흥
Support Vector Machine (SVM)%Incremental learning%Intelligent human-computer interface%User conflict%User adaptation
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 fea-ture of different users and cast away the special user's character, so this method can adapt the different users withoutover fitting. In this paper, the repetitive learning strategy and other two incremental learning algorithms are presentedfor comparison. Based on theoretical analysis and experimental results, we draw the conclusion that SVM-based incre-mental learning can solve the user conflict problem.
