A new truncated non-convex loss based support vector machine for robust binary classification
Crossref DOI link: https://doi.org/10.1007/s10489-025-06799-2
Published Online: 2025-08-02
Published Print: 2025-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Li, Feihong
Qi, Kai
Yang, Hu https://orcid.org/0000-0001-6589-8534
Funding for this research was provided by:
National Natural Science Foundation of China (12371281)
Text and Data Mining valid from 2025-08-01
Version of Record valid from 2025-08-01
Article History
Accepted: 15 July 2025
First Online: 2 August 2025
Declarations
:
: The authors declare that they have no conflict of interest.