Title :
An improved algorithm of the support vector machine
Author_Institution :
Dept. of Comput. Sci., Shangluo Univ., Shangluo, China
Abstract :
According to the testing speed of the SVM depends on the number of support vector, this paper proposes the reduce vector algorithm to resolve this problem. It can reduce the calculation number of the inner product. Therefore, improve the testing speed (In particular, when a larger number of support vectors). Lastly, simulate with artificial dataset. The experiment results show the RVSVM is effective.
Keywords :
support vector machines; calculation number; inner product; support vector machine; testing speed; vector algorithm; Support vector machine classification; Vectors; Support Vector; Support Vector Machine; inner product;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182202
