摘要
通过分析现有SVM的两种改进算法:半监督学习算法和增量学习算法,给出了对现有的增量学习算法的改进,提出了一种新的半监督增量SVM学习算法,将其应用于Web文本分类中,并验证了半监督增量SVM学习算法的有效性和可行性。
SVM has a good performance in pattern classification.According to the analysis of the two present refinement algorithms about SVM:Semisupervised Learning and Incremental Learning,an improved algorithm of present Incremental Learning algorithm is gavn.A new algorithm of semisupervised-Incremental SVM learning is given out.Also this new algorithm is used in Web text classification.
出处
《科学技术与工程》
2010年第1期238-240,共3页
Science Technology and Engineering
基金
国家科技部高新司项目(2005EJ000006)资助