Title :
Pre-extracting support vectors for support vector machine
Author :
Li, Zhang ; Weida, Zhou ; Licheng, Jiao
Author_Institution :
Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
A new method called center distance ratio method which is able to extract support vectors from given training examples is presented for support vector algorithm. The method greatly reduces the training examples and so improves the speed of support vector machine, while the ability of support vector machine to classify is unaffected. Our experiment results show remarkable improvement of the speed of support vector machine, supporting our idea
Keywords :
learning automata; learning by example; pattern classification; SVM; center distance ratio method; support vector machine; support vector pre-extraction; Machine learning; Radar signal processing; Signal processing algorithms; Statistical learning; Support vector machine classification; Support vector machines;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.893370
