Fuzzy SVM for Multi-Class Classification

  • 나은영 (대구가톨릭대학교 전산통계학과) ;
  • 홍덕헌 (명지대학교 수학과) ;
  • 황창하 (대구가톨릭대학교 정보통계학과)
  • 발행 : 2003.10.30

초록

More elaborated methods allowing the usage of binary classifiers for the resolution of multi-class classification problems are briefly presented. This way of using FSVC to learn a K-class classification problem consists in choosing the maximum applied to the outputs of K FSVC solving a one-per-class decomposition of the general problem.

키워드