计算机工程与科学2013，Vol.35Issue(2)：91-95,5.DOI:10.3969/j.issn.1007-130X.2013.02.016
一种改进的局部支持向量机算法
An improved algorithm of local support vector machine
摘要
Abstract
Local support vector machine is a widely used classifier. It has been attracting more and more attention both on its theoretical research and practical applications. Nowadays, there exists a problem in many traditional local support vector machine algorithms: the imbalance of the number of the samples leads to the difficulty in improving the classification accuracy. In this paper, firstly, under the inspiration of weighted support vector machine, the algorithm named WFalk-SVM is proposed, which u-ses weight in Falk-SVM. Secondly, the experiments demonstrates the feasibility and effectiveness. At last, we conclude the weighted Falk-SVM.关键词
支持向量机/局部支持向量机/Falk-SVM/WFalk-SVMKey words
support vector machine/local support vector machine/falk-SVM/WFalk-SVM分类
信息技术与安全科学引用本文复制引用
朱莹莹,尹传环,牟少敏..一种改进的局部支持向量机算法[J].计算机工程与科学,2013,35(2):91-95,5.基金项目
国家自然科学基金资助项目(61105056) （61105056）
中央高校基本科研业务费专项资金 （）
山东农业大学青年科技创新基资助金项目(200923647) （200923647）
北京交通大学科技基金资助项目(2007RC066) （2007RC066）
