A regularization path algorithm for support vector ordinal regression

DOI10.1016/j.neunet.2017.11.008zbMath1434.68410OpenAlexW2770999602WikidataQ47261509 ScholiaQ47261509MaRDI QIDQ2179297

Bin Gu

Publication date: 12 May 2020

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2017.11.008

zbMATH Keywords

singularityQR decompositionsolution pathsupport vector ordinal regression

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Multi-view support vector ordinal regression with data uncertainty

Cites Work

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• Support Vector Ordinal Regression
• Piecewise linear regularized solution paths
• Efficient Computation and Model Selection for the Support Vector Regression
• Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression
• Quantile Regression in Reproducing Kernel Hilbert Spaces

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