Classification and Regression Using an Outer Approximation Projection-Gradient Method

DOI10.1109/TSP.2017.2709262zbMath1414.94052arXiv1506.02196OpenAlexW2962963232WikidataQ57424983 ScholiaQ57424983MaRDI QIDQ4621845

Michel Barlaud, Wafa Belhajali, Patrick L. Combettes, Lionel Fillatre

Publication date: 8 February 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1506.02196

Mathematics Subject Classification ID

Sensitivity, stability, parametric optimization (90C31) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Outer perturbations of a projection method and two approximation methods for the split equality problem ⋮ A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression ⋮ A filtered bucket-clustering method for projection onto the simplex and the \(\ell_1\) ball

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