Leo Breiman (1996)
Machine Learning, 24(2), 123-140.
DOI: https://doi.org/10.1007/bf00058655
Abstract. Introduces bootstrap aggregation (bagging) as a method for reducing the variance of unstable estimators by averaging predictions across models trained on bootstrap samples of the training data.
Tags: ensembles bagging