A new support vector machine plus with pinball loss

DOI10.1007/s00357-018-9249-yzbMath1392.68374OpenAlexW2794388856MaRDI QIDQ724600

Yingyuan Xiao, Wenxin Zhu, Yunyan Song

Publication date: 26 July 2018

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-018-9249-y

zbMATH Keywords

additional informationsupport vector machineSVM+re-samplingpinball loss

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml

Cites Work

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• A new learning paradigm: learning using privileged information
• Estimating conditional quantiles with the help of the pinball loss
• Weighted least squares support vector machines: robustness and sparse approximation
• Robust classification and regression using support vector machines
• Estimation of Dependences Based on Empirical Data
• Second-Order Cone Programming Formulations for Robust Multiclass Classification

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