A. Family, Available from

L. Breiman, Bagging predictors, Machine Learning, pp.123-140, 1996.
DOI : 10.2307/1403680

L. Breiman, Arcing the edge Statistics Department, 1997.

L. Breiman, Random forests, Machine Learning, pp.5-32, 2001.

L. Breiman, J. Friedman, R. Olshen, and C. J. Stone, Classification and Regression Trees, 1984.

D. Doherty, Analytical modeling of aircraft wing loads using matlab and symbolic math toolbox, 2009.

H. Drucker, Improving regressors using boosting techniques, Proceedings of the Fourteenth International Conference on Machine Learning, pp.107-115, 1997.

Y. Freund and R. Shapire, A decision-theoretic generalization of online learning and application to boosting, Proceedings of the second European Conference on Computational Learning Theory, pp.23-37, 1995.

Y. Freund and R. Shapire, Experiments with a new boosting algorithm, machine learning, Proceedings of the Thirteenth Conference, pp.148-156, 1996.

J. H. Friedman, Greedy function approximation: A gradient boosting machine, 1999.

A. Gandomi and M. Haider, Beyond the hype: Big data concepts, methods, and analytics, International Journal of Information Management, vol.35, issue.2, pp.137-144, 2015.
DOI : 10.1016/j.ijinfomgt.2014.10.007

URL : https://doi.org/10.1016/j.ijinfomgt.2014.10.007

K. D. Hjelmstad, Fundamentals of Structural Mechanics, 2005.

F. M. Hoblit, Gust Loads on Aircraft: Concepts and Applications, 1988.
DOI : 10.2514/4.861888

H. Hotelling, Analysis of a complex of statistical variables into principal components, Journal of Educational Psychology, vol.23, pp.417-441, 1993.

C. Li, A gentle introduction to gradient boosting. College of Computer and Information Science, Northeastern University Available from: http://www.ccs.neu, 2016.

J. Manyika, Big data: the next frontier for innovation, competition and productivity, 2011.

E. Sergienko, F. Gamboa, and F. Busby, Shape invariant model approach for functional data analysis in uncertainty and sensitivity studies, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00806562