Feature selection for high-dimensional data

DOI10.1007/s10287-008-0070-7zbMath1168.62301OpenAlexW2071792840MaRDI QIDQ2271790

Christine De Mol, Francesca Odone, Sofia Mosci, Alessandro Verri, Augusto Destrero

Publication date: 4 August 2009

Published in: Computational Management Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10287-008-0070-7

zbMATH Keywords

computer visioniterative solutionscomputational biologyfeature selectionregularized methods\(L_1-L_2\) penalties

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99) Computing methodologies for image processing (68U10)

Related Items (2)

Elastic-Net Regularization: Iterative Algorithms and Asymptotic Behavior of Solutions ⋮ Elastic-net regularization in learning theory

Uses Software

• PDCO

Cites Work

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