Friedman J. (2001). Greedy function approximation: A gradient boosting machine Ann Stat. 29

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References and models cited by this paper
References and models that cite this paper

Basak J. (2006). Online adaptive decision trees: pattern classification and function approximation. Neural computation. 18 [PubMed]

Jiang W. (2004). Boosting with Noisy Data: Some Views from Statistical Theory Neural Comput. 16

Shrestha DL, Solomatine DP. (2006). Experiments with AdaBoost.RT, an improved boosting scheme for regression. Neural computation. 18 [PubMed]

Truccolo W, Donoghue JP. (2007). Nonparametric modeling of neural point processes via stochastic gradient boosting regression. Neural computation. 19 [PubMed]

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