期刊文献+

A NEW HYPERSPHERE SUPPORT VECTOR MACHINE ALGORITHM 被引量:2

A NEW HYPERSPHERE SUPPORT VECTOR MACHINE ALGORITHM
下载PDF
导出
摘要 The hypersphere support vector machine is a new algorithm in pattern recognition. By studying three kinds of hypersphere support vector machines, it is found that their solutions are identical and the margin between two classes of samples is zero or is not unique. In this letter, a new kind of hypersphere support vector machine is proposed. By introducing a parameter n(n>1), a unique solution of the margin can be obtained. Theoretical analysis and experimental results show that the proposed algorithm can achieve better generaliza-tion performance. The hypersphere support vector machine is a new algorithm in pattern recognition. By studying three kinds ofhypersphere support vector machines, it is found that their solutions are identical and the margin between two classes of samples is zero or is not unique. In this letter, a new kind ofhypersphere support vector machine is proposed. By introducing a parameter n(n〉1), a unique solution of the margin can be obtained.Theoretical analysis and experimental results show that the proposed algorithm can achieve better generalization performance.
出处 《Journal of Electronics(China)》 2006年第4期614-617,共4页 电子科学学刊(英文版)
基金 Supported by the National Natural Science Foundation of China (No.60277101, No.60301003, No.60431020), Beijing Foundation (No.3052005), and Beijing Munici-pal Commission of Education Project (KM200410005030).
关键词 Hypersphere support vector machine MARGIN Generalization performance 超球面支撑向量 识别模式 泛化性能 参数
  • 相关文献

同被引文献13

  • 1胡国胜,钱玲,张国红.支持向量机的多分类算法[J].系统工程与电子技术,2006,28(1):127-132. 被引量:33
  • 2Tang Faming Chen Mianyun Wang Zhongdong.New approach to training support vector machine[J].Journal of Systems Engineering and Electronics,2006,17(1):200-205. 被引量:10
  • 3王敏,姜振萍.上市公司绩效评价指标体系的建立[J].科技创业月刊,2007,20(3):40-41. 被引量:6
  • 4Tax D M J, Duin R P W. Support vector domain description [J]. Pattern Recognition Letters, 1999, 20(11/13): 1191- 1199
  • 5Tax D M J, Duin R P W. Support vector domain description [J]. Machine Learning, 2004, 54(1): 45-66
  • 6Xin Dong, Wu Zhaohui, Pan Yunhe. A new multi-class support vector machines [C] //Proc of IEEE Int Conf on Systems, Man, and Cybernetics. Piscataway, NJ: IEEE, 2001:1673-1676
  • 7Hoi Chu-Hong, Chan Chi-Hang, Huang Kaizhu, et al. Biased support vector machine for relevance feedback in image retrieval [C]//Proe of IEEE Int Joint Conf on Neural Networks. Piseataway, NJ: IEEE, 2004: 3189-3194
  • 8Yi Liu, Zheng Y F. Minimum enclosing and maximum excluding machine for pattern description and discrimination pattern recognition [C]//Proc of the 18th Int Con[ on ICPR. Los Alamitos: IEEE Computer Society, 2006 : 129-132
  • 9薛嘉庆.最优化理论与方法[M].修订版.北京:冶金工业出版社,2003
  • 10林于力.基于模糊支持向量机的信用风险评估模型研究[J].重庆工商大学学报(自然科学版),2014,31(5):65-69. 被引量:3

引证文献2

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部