DocumentCode
390406
Title
Pre-extracting support vector by adaptive projective algorithm
Author
Ai-ling, Ding ; Fang, Liu ; Ying Li
Author_Institution
Comput. Sch., Xidian Univ., Xi´´an, China
Volume
1
fYear
2002
fDate
26-30 Aug. 2002
Firstpage
21
Abstract
A new method, called adaptive projective algorithm, which is able to extract support vectors from given training examples, is put forward as a support vector algorithm. The method greatly reduces the training samples and so improves the speed of the support vector machine, while the ability of the support vector machine in pattern classification is unaffected: Our experimental results show remarkable improvement of speed to support our idea.
Keywords
adaptive signal processing; iterative methods; learning (artificial intelligence); learning automata; optimisation; pattern classification; adaptive projective algorithm; iterative method; optimization; pattern classification; support vector algorithm; support vector machine; training examples; Data mining; Erbium; Iterative algorithms; Iterative methods; Pattern classification; Risk management; Support vector machine classification; Support vector machines; Training data; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2002 6th International Conference on
Print_ISBN
0-7803-7488-6
Type
conf
DOI
10.1109/ICOSP.2002.1180973
Filename
1180973
Link To Document