摘要
对支持向量机技术进行研究,介绍支持向量机的原理,讨论支持向量机中核函数的选择和多类问题,讨论支持向量机中求解大规模数据的有效算法。从文本分类,手写字符识别,人脸检测,入侵检测,图像处理等方面对支持向量机的应用研究作了综述。讨论了支持向量机的优点和缺点,并对支持向量机的发展作了展望。
The Technology of support vector machine is studied in this paper. The principle of SVM is given. The questions of mercer function, multiple category and efficient algorithms to solve large data set. The application of researches, such as text categorization, character/script identification, face detection, intrusion detection, image processing, and other application, are viewed. The advantages and shortcomings of SVM are also discussed and the development is prospected.
出处
《安徽教育学院学报》
2007年第3期56-59,共4页
Journal of Anhui Institute of Education
基金
安徽省教育科学规划项目(JG06183)
关键词
统计学习理论
支持向量机
机器学习
核
文本分类
statistical learning theory
support vector maehine
machine learning
mercer
text categorization
