Title :
NFL-SVM: An Effective Algorithm for Solving Misclassification in SVM
Author :
Zhang, Xianfei ; Li, Bicheng ; Panyuan
Author_Institution :
Zhengzhou Inf. Technol. Inst., Zhengzhou
Abstract :
Considering the problem of low classification accuracy of similar category, this paper proposes NFL- SVM, an effective algorithm for solving misclassification in SVM. By analysis and deduction, this paper indicates that SVM can be considered the nearest neighbor classifier of just one feature point in each category. KNFL regards lines of all points as feature lines, so it can be used to overcome defaults in SVM. The results of experiment at last show us that NFL-SVM can provide a better performance in classification accuracy.
Keywords :
pattern classification; support vector machines; NFL-SVM; classification accuracy; misclassification; nearest neighbor classifier; support vector machines; Computer errors; Concrete; Error correction; Information technology; Machine learning; Nearest neighbor searches; Risk management; Support vector machine classification; Support vector machines; Upper bound;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.501
