R. Tibshirani, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B, vol.58, issue.1, pp.267-288, 1996.

B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, Least angle regression, Annals of Statistics, vol.32, issue.2, pp.407-499, 2004.

M. Yuan and Y. Lin, Model selection and estimation in regression with grouped variables, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.58, issue.1, pp.49-67, 2006.
DOI : 10.1198/016214502753479356

Y. Grandvalet and S. Canu, Adaptive scaling for feature selection in SVMs, Advances in Neural Information Processing Systems, 2003.

M. R. Osborne, B. Presnell, and B. A. Turlach, On the lasso and its dual, Journal of Computational and Graphical Statistics, vol.9, issue.2, pp.319-337, 2000.

C. L. Blake, D. J. Newman, S. Hettich, and C. J. Merz, UCI repository of machine learning databases, 1998.

G. Lanckriet, T. De-bie, N. Cristianini, M. Jordan, and W. Noble, A statistical framework for genomic data fusion, Bioinformatics, vol.20, issue.16, pp.2626-2635, 2004.
DOI : 10.1093/bioinformatics/bth294

W. Härdle, Applied Nonparametric Regression, Economic Society Monographs, vol.19, 1990.