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Found 2 papers, 1 papers with code
Transfer learning with affine model transformation
Supervised transfer learning has received considerable attention due to its potential to boost the predictive power of machine learning in scenarios where data are scarce.
A General Class of Transfer Learning Regression without Implementation Cost
We propose a novel framework that unifies and extends existing methods of transfer learning (TL) for regression.
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