Transfer learning based on the single-index model

Song, Fengli

doi:10.1016/j.spl.2026.110667

Transfer learning based on the single-index model

2026-02-01

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DOI：10.1016/j.spl.2026.110667

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Abstract

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We introduce two transfer learning algorithms based on the single-index model, tailored for settings where the transferable data are either known or unknown. Theoretical properties of the proposed models are discussed. Their performance is evaluated through numerical simulations and applied to Genotype-Tissue Expression data.

Keywords:

Transfer learning

Single-index model

Transfer learning based on the single-index model

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