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Found 2 papers, 1 papers with code
Probabilistic Formulations of Regression with Mixed Guidance
Regression problems assume every instance is annotated (labeled) with a real value, a form of annotation we call \emph{strong guidance}.
Transfer Regression via Pairwise Similarity Regularization
Transfer learning methods address the situation where little labeled training data from the "target" problem exists, but much training data from a related "source" domain is available.
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