Feature weighting derived from ridge regression coefficients improves sample selection in pool-based sequential active learning for both single-task and multi-task regression.
Stream -based active learning for regression with dynamic feature selection
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Feature Weighting Improves Pool-Based Sequential Active Learning for Regression
Feature weighting derived from ridge regression coefficients improves sample selection in pool-based sequential active learning for both single-task and multi-task regression.