摘要
研究了支持向量机在中文网页分类中的应用,给出了基于关键词的中文网页特征提取和选择方法,阐述了统计学习理论中的支持向量机模型及其在分类问题应用中的特点,给出了设计支持向量机分类器的二次规划学习算法。
This paper deals with Chinese Web page classification based on support vector machine (SVM). This paper gives some methods for feature extraction and selection based on text keywords. Special problems are discussed in statistic learning theory, support vector machine and their application in classification. Also quadratic program algorithm is described for constructing the SVM classifier.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2005年第10期145-147,共3页
Computer Engineering
关键词
支持向量机
统计学习
优化
网页
文本分类
Special problems are discussed in statistic learning theory, support vector machine and their application in classification. Also quadratic program algorithm is described for constructing the SVM classifier. Key words Support vector machine
Statistic learning
Optimization
Web page
Text classification
