Trajectory-based support vector multicategory classifier
SCIE
SCOPUS
- Title
- Trajectory-based support vector multicategory classifier
- Authors
- Lee, D; Lee, J
- Date Issued
- 2005-01
- Publisher
- SPRINGER-VERLAG BERLIN
- Abstract
- Support vector machines are primarily designed for binaryclass classification. Multicategory classification problems are typically solved by combining several binary machines. In this paper, we propose a novel classifier with only one machine for even multiclass data sets. The proposed method consists of two phases. The first phase builds a trained kernel radius function via the support vector domain decomposition. The second phase constructs a dynamical system corresponding to the trained kernel radius function to decompose data domain and to assign class label to each decomposed domain. Numerical results show that our method is robust and efficient for multicategory classification.
- Keywords
- MACHINES
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/24516
- DOI
- 10.1007/11427391_137
- ISSN
- 0302-9743
- Article Type
- Article
- Citation
- LECTURE NOTES IN COMPUTER SCIENCE, vol. 3496, page. 857 - 862, 2005-01
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