A Trace Lasso Regularized Robust Nonparallel Proximal Support Vector Machine for Noisy Classification

Generalized eigenvalue proximal support vector machine (GEPSVM) and its improvement IGEPSVM are excellent nonparallel classification methods due to their excellent generalization. However, all of them adopt the square L₂-norm metric to implement their empirical risk or penalty, which is s...

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Bibliografische Detailangaben

Hauptverfasser:	Wei-Jie Chen, Kai-Li Yang, Yuan-Hai Shao, Yu-Juan Chen, Ju Zhang, Jing-Jing Yao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2019-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Support vector machines <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">L</italic>₁-norm regularization robustness classification algorithms
Online-Zugang:	https://ieeexplore.ieee.org/document/8618442/
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