Stochastic gradient boosting

Author:

Friedman Jerome H.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference5 articles.

1. Bagging predictors;Breiman;Mach. Learning,1996

2. Breiman, L., 1999. Using adaptive bagging to debias regressions. Technical Report, Department of Statistics, University of California, Berkeley.

3. Freund, Y., Schapire, R., 1996. Experiments with a new boosting algorithm. Machine Learning: Proceedings of the 13th International Conference, pp. 148–156.

4. Friedman, J.H., 1999. Greedy function approximation: a gradient boosting machine. Technical Report, Department of Statistics, Stanford University.

5. Friedman, J.H., Hastie, T., Tibshirani, R., 1998. Additive logistic regression: a statistical view of boosting. Technical Report, Department of Statistics, Stanford University.

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