Construct a robust least squares support vector machine based on L-p-norm and L-infinity-norm

Ke, T; Zhang, LD; Ge, XC; Lv, H; Li, M

Ke, T (corresponding author), Tianjin Univ Sci & Technol, Coll Artificial Intelligence, Tianjin 300457, Peoples R China.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2021; 99 ():

Abstract

Despite some L-P-norm LSSVMs own feature selection and prediction ability, they still suffer from two common issues. (i) They always ignore edge point......

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