A novel semi-supervised support vector machine with asymmetric squared loss

DOI10.1007/s11634-020-00390-yOpenAlexW3010738490MaRDI QIDQ2036148

Qiang Lin, Liran Yang, Ping Zhong, Hui-Min Pei

Publication date: 28 June 2021

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-020-00390-y

zbMATH Keywords

noise sensitivitysupport vector machinesemi-supervised learningasymmetric squared loss

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Quadratic programming (90C20)

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