Researches on Algorithm for Confidence Evaluation and Decision Modification of SVM

摘要：

In this paper, a new algorithm to estimate confidence measure of support vector machine (SVM) is presented. The algorithm computes the distance from testing sample to the optimal hyperplane of SVM, and the probability that the testing sample and its k nearest neighbors belong to the same class as the decision of Libsvm for the testing sample. The algorithm rejects the classification results of samples whose confidence measures are smaller than the threshold corresponding to a given rejection rate. Experiments show that the performance of the SVM classifier has been improved using this algorithm.

关键词： Support vector machine confidence measure threshold rejection

作者: Xing Zhao Yanquan Zhou Huacan He

作者单位: Beijing University of Posts and Telecommunications Beijing, China Northwestern Polytechnic University. Xian, China

会议类型: 国际会议

会议名称: International Conference on Natural Language Processing and Knowledge Engineering(IEEE自然语言处理与知识工程国际会议 IEEE NLP-KE 2009)

会议地点: 大连

会议语种:英文

页码: 1-7

在线出版日期: 2009-09-24（万方平台首次上网日期，不代表论文的发表时间）