Stochastic gradient boosting
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Summary
It is shown that both the approximation accuracy and execution speed of gradient boosting can be substantially improved by incorporating randomization into the procedure.
- Type
- article
- Published
- 2002-02-28
- Cited by
- 6,679
- References
- 5
- OpenAlex
- https://openalex.org/W2070493638
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16190154
Keywords
Gradient boosting, Parameterized complexity, Mathematics, Robustness (evolution), Boosting (machine learning)
References
- Special Invited Paper-Additive logistic regression: A statistical view of boosting
- Greedy function approximation: A gradient boosting machine.
- Experiments with a New Boosting Algorithm
- Bagging Predictors
- Experiments with a new boosting algorithm
- 1 USING ADAPTIVE BAGGING TO DEBIAS REGRESSIONS
- Bagging Predictors
- USING ADAPTIVE BAGGING TO DEBIAS REGRESSIONS
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