Abstract
The following idea may have occurred to you after reading the chapter on regression. Imagine you have a regression that makes errors. You could try to produce a second regression that fixes those errors. You may have dismissed this idea, though, because if one uses only linear regressions trained using least squares, it’s hard to see how to build a second regression that fixes the first regression’s errors.
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Forsyth, D. (2019). Boosting. In: Applied Machine Learning . Springer, Cham. https://doi.org/10.1007/978-3-030-18114-7_12
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DOI: https://doi.org/10.1007/978-3-030-18114-7_12
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