Generalized support vector regression: Duality and tensor-kernel representation

DOI10.1142/S0219530519410069zbMath1441.62101arXiv1603.05876OpenAlexW2982336121WikidataQ126856551 ScholiaQ126856551MaRDI QIDQ5220070

Saverio Salzo, Johan A. K. Suykens

Publication date: 10 March 2020

Published in: Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1603.05876

zbMATH Keywords

tensorssupport vector regressionFenchel-Rockafellar dualityregularized empirical riskreproducing kernel Banach spaces

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Learning and adaptive systems in artificial intelligence (68T05) Applications of functional analysis in optimization, convex analysis, mathematical programming, economics (46N10) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22)

Related Items (2)

Sparse machine learning in Banach spaces ⋮ A simultaneous decomposition for three quaternion tensors with applications in color video signal processing

Cites Work

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