@article{AIHPB_2004__40_6_685_0,
author = {Audibert, Jean-Yves},
title = {Aggregated estimators and empirical complexity for least square regression},
journal = {Annales de l'I.H.P. Probabilit\'es et statistiques},
pages = {685--736},
year = {2004},
publisher = {Elsevier},
volume = {40},
number = {6},
doi = {10.1016/j.anihpb.2003.11.006},
mrnumber = {2096215},
zbl = {1052.62037},
language = {en},
url = {https://www.numdam.org/articles/10.1016/j.anihpb.2003.11.006/}
}
TY - JOUR AU - Audibert, Jean-Yves TI - Aggregated estimators and empirical complexity for least square regression JO - Annales de l'I.H.P. Probabilités et statistiques PY - 2004 SP - 685 EP - 736 VL - 40 IS - 6 PB - Elsevier UR - https://www.numdam.org/articles/10.1016/j.anihpb.2003.11.006/ DO - 10.1016/j.anihpb.2003.11.006 LA - en ID - AIHPB_2004__40_6_685_0 ER -
%0 Journal Article %A Audibert, Jean-Yves %T Aggregated estimators and empirical complexity for least square regression %J Annales de l'I.H.P. Probabilités et statistiques %D 2004 %P 685-736 %V 40 %N 6 %I Elsevier %U https://www.numdam.org/articles/10.1016/j.anihpb.2003.11.006/ %R 10.1016/j.anihpb.2003.11.006 %G en %F AIHPB_2004__40_6_685_0
Audibert, Jean-Yves. Aggregated estimators and empirical complexity for least square regression. Annales de l'I.H.P. Probabilités et statistiques, Tome 40 (2004) no. 6, pp. 685-736. doi: 10.1016/j.anihpb.2003.11.006
[1] , Bagging predictors, Machine Learning 24 (2) (1996) 123-140. | Zbl
[2] , Arcing classifiers, Ann. Statist 26 (3) (1998) 801-849. | Zbl | MR
[3] O. Catoni, Statistical Learning Theory and Stochastic Optimization, in: Probability Summer School, Saint Flour, 2001, Springer-Verlag, submitted for publication. | Zbl | MR
[4] , , Experiments with a new boosting algorithm, in: Machine Learning: Proceedings of the Thirteenth International Conference, 1996, pp. 148-156.
[5] J. Friedman, T. Hastie, R. Tibshirani, Additive logistic regression: a statistical view of boosting, Technical Report, Dept. of Statistics, Stanford University, 1998.
[6] , , Functional aggregation for nonparametric estimation, Ann. Statist 28 (2000) 681-712. | Zbl | MR
[7] , , Smooth discrimination analysis, Ann. Statist 27 (1999) 1808-1829. | Zbl | MR
[8] , PAC-bayesian stochastic model selection, Machine Learning J (2001), submitted for publication. | Zbl
[9] , Lectures on Probability Theory and Statistics. Part II: Topics in Non-Parametric Statistics, in: Probability Summer School, Saint Flour, Springer-Verlag, Berlin, 1998. | Zbl | MR
[10] , , , , , , Barrier boosting, in: Proc. COLT'00, Morgan Kaufmann, Palo Alto, 2000, pp. 170-179.
[11] R.E. Schapire, Y. Singer, Improved boosting algorithms using confidence-rated predictions, 1998, pp. 80-91.
[12] A.B. Tsybakov, Optimal aggregation of classifiers in statistical learning, 2001.
[13] Y. Yang, Aggregating regression procedures for a better performance, 2001.
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