Research on SVM Ensemble and Its Application to Remote Sensing Classification

摘要：

The paper analyzes the key concepts, theories and methods of machine learning ensemble, and reviews the related studies on support vector machine (SVM) ensemble. The experiments on the remote sensing classification show that SVM ensemble is more accurate than single SVM. To obtain an effective SVM ensemble, we propose a selective SVM ensemble approach based on fuzzy clustering and discuss the issues on it.

关键词： Support vector machine Ensemble Remote sensing classification Fuzzy clustering

作者: Hengnian Qi Meili Huang

作者单位: School of Information Engineering, Zhejiang Forestry University, Linan 311300, P. R. China;School o School of Information Engineering, Zhejiang Forestry University, Linan 311300, P. R. China;School o

会议类型: 国际会议

会议名称: The 2007 International Conference on Intelligent Systems and Knowledge Engineering(第二届智能系统与知识工程国际会议)

会议地点: 成都

会议语种:英文

页码: 1390-1394

在线出版日期: 2007-10-15（万方平台首次上网日期，不代表论文的发表时间）