Fundamental Research Funds for the Central Universities [CCNU19ZN020]; Fundamental Research Funds for the Central Universities of Central China Normal University [B2018401]; Research Project of Hubei Provincial Department of Education
机构署名：
本校为第一且通讯机构
院系归属：
物理科学与技术学院
摘要：
Semi-supervised classification has gained widespread popularity because of their superior ability to handle unlabeled samples in practical problems. This paper has presented a novel estimation error-ranked LSSVM method with double Mahalanobis-kernel which is used for semi-supervised classification. The main point is to construct two Mahalanobis distances in Hilbert space to form double Mahalanobis-kernel by considering the relationship between the characteristics of two sorts of samples, so as to reduce the influence of non-informational dimensions. Furthermore, the implementation of the propo...
