TY - GEN
T1 - An efficient algorithm for multi-class support vector machines
AU - Guo, Jun
AU - Takahashi, Norikazu
AU - Hu, Wenxin
PY - 2008/12/1
Y1 - 2008/12/1
N2 - A novel algorithm for multi-class support vector machines (SVMs) is proposed in this paper. The tree constructed in our algorithm consists of a series of two-class SVMs. Considering both separability and balance, in each iteration multi-class patterns are divided into two sets according to the distances between pairwise classes and the number of patterns in each class. This algorithm can well treat with the unequally distributed problems. The efficiency of the proposed method are verified by the experimental results.
AB - A novel algorithm for multi-class support vector machines (SVMs) is proposed in this paper. The tree constructed in our algorithm consists of a series of two-class SVMs. Considering both separability and balance, in each iteration multi-class patterns are divided into two sets according to the distances between pairwise classes and the number of patterns in each class. This algorithm can well treat with the unequally distributed problems. The efficiency of the proposed method are verified by the experimental results.
UR - http://www.scopus.com/inward/record.url?scp=62949208053&partnerID=8YFLogxK
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U2 - 10.1109/ICACTE.2008.48
DO - 10.1109/ICACTE.2008.48
M3 - Conference contribution
AN - SCOPUS:62949208053
SN - 9780769534893
T3 - Proceedings - 2008 International Conference on Advanced Computer Theory and Engineering, ICACTE 2008
SP - 327
EP - 331
BT - Proceedings - 2008 International Conference on Advanced Computer Theory and Engineering, ICACTE 2008
T2 - 2008 International Conference on Advanced Computer Theory and Engineering, ICACTE 2008
Y2 - 20 December 2008 through 22 December 2008
ER -