Proposes robust multiclass TPMSVM models derived via robust optimization for handling feature uncertainty, with linear and kernel versions plus validation on real datasets.
Least squares t win parametric-margin support vector machine for classification
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2023 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification
Proposes robust multiclass TPMSVM models derived via robust optimization for handling feature uncertainty, with linear and kernel versions plus validation on real datasets.