Novel Aggregate Deletion/Substitution/Addition Learning Algorithms for Recursive Partitioning
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Publication:3391141
DOI10.1080/10618600.2017.1319842OpenAlexW2606298971MaRDI QIDQ3391141
Gregory Ryslik, Alice M. Arnold, A. B. Olshen, Karen Lostritto, Robert L. Strawderman, Annette M. Molinaro
Publication date: 28 March 2022
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10618600.2017.1319842
Uses Software
Cites Work
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- Greedy function approximation: A gradient boosting machine.
- Bagging predictors
- Multivariate adaptive regression splines
- Hedonic housing prices and the demand for clean air
- On the Harrison and Rubinfeld data
- Boosting the margin: a new explanation for the effectiveness of voting methods
- Tree-based multivariate regression and density estimation with right-censored data
- Boosting With theL2Loss
- A Partitioning Deletion/Substitution/Addition Algorithm for Creating Survival Risk Groups
- High-Dimensional Variable Selection for Survival Data
- Random forests
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