Feature elimination in kernel machines in moderately high dimensions

DOI10.1214/18-AOS1696zbMath1420.68167arXiv1304.5245WikidataQ90597532 ScholiaQ90597532MaRDI QIDQ1731769

Yair Goldberg, Michael R. Kosorok, Sayan Dasgupta

Publication date: 14 March 2019

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1304.5245

zbMATH Keywords

support vector machinesvariable selectionkernel machinesrecursive feature elimination

Mathematics Subject Classification ID

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

Related Items (6)

Efficient kernel-based variable selection with sparsistency ⋮ Receiver operating characteristic curves and confidence bands for support vector machines ⋮ Net benefit index: Assessing the influence of a biomarker for individualized treatment rules ⋮ Structure learning via unstructured kernel-based M-estimation ⋮ Feature elimination in kernel machines in moderately high dimensions ⋮ Kernel variable selection for multicategory support vector machines

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