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Active Learning with Model Selection in Linear Regression

Active Learning with Model Selection in Linear Regression

Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and have been studied extensively. However, these two issues seem to have been investigated separately as two independent problems. If training input points and models are ...

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