The original AdaBoost.R2 paper mentions that the algorithm can be used with any regression learner, not just decision tree regressors. To the best of my knowledge, there are no solid research results ...

Integrating drilling signals with an AdaBoost algorithm, this research improves real-time predictions of rock strength, addressing key challenges in mining.

Imposition of a lasso penalty shrinks parameter estimates toward zero and performs continuous model selection. Lasso penalized regression is capable of handling linear regression problems where the ...

The original AdaBoost ("adaptive boosting") algorithm is a binary classification technique (predicting a variable that has two possible values, such as the sex of a person). The AdaBoost.R2 ("AdaBoost ...