Robust latent regression with discriminative regularization by leveraging auxiliary knowledge

DOI10.1016/J.NEUNET.2018.02.004zbMath1434.68460DBLPjournals/nn/TaoZZ18OpenAlexW2793374993WikidataQ50421374 ScholiaQ50421374MaRDI QIDQ2179810

Di Zhou, Jianwen Tao, Bin Zhu

Publication date: 13 May 2020

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2018.02.004

zbMATH Keywords

robust regressiondomain adaptation learning\(l_{2,1}\)-normdiscriminative regularization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Robust adaptation regularization based on within-class scatter for domain adaptation

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