A. Antoniadis and J. Fan, Regularization of Wavelet Approximations, Jour- 366 nal of the American Statistical Association 96, pp.939-967, 2001.
DOI : 10.1198/016214501753208942

F. R. Bach, Bolasso, Proceedings of the 25th international conference on Machine learning, ICML '08, 2008.
DOI : 10.1145/1390156.1390161
URL : https://hal.archives-ouvertes.fr/hal-00271289

C. Chu, S. K. Kim, Y. Lin, Y. Yu, G. B. Ng et al., Map-Reduce for Machine Learning on Multicore, p.372, 2006.

B. Efron, T. Hastie, L. Johnstone, and R. Tibshirani, Least angle regression, Annals of Statistics, vol.374, issue.32, pp.407-499, 2004.

J. Friedman, T. Hastie, and R. Tibshirani, Regularization paths for gener- 376 alized linear models via coordinate descent, Tech. rep., Dept. of Statistics, p.377, 2008.

A. Genkin, D. D. Lewis, and D. Madigan, Large-Scale Bayesian Logistic Regression for Text Categorization, Technometrics, vol.49, issue.3, pp.291-304, 2007.
DOI : 10.1198/004017007000000245

T. J. Hastie and R. J. Tibshirani, Generalized Additive Models, 1990.

A. E. Hoerl and R. W. Kennard, Ridge Regression: Biased Estimation for Nonorthogonal Problems, Technometrics, vol.24, issue.1, pp.55-67, 1970.
DOI : 10.2307/1909769

T. Joachims, Text categorization with Support Vector Machines: Learning with many relevant features, Proceedings of the 10th European Conference 390 on Machine Learning (ECML, pp.137-142, 1998.
DOI : 10.1007/BFb0026683
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.6124

T. Joachims, Learning to Classify Text Using Support Vector Machines, p.392, 2002.
DOI : 10.1007/978-1-4615-0907-3

K. S. Jones, A statistical interpretation of term specificity and its appli- 395 cation in retrieval. Document retrieval systems, pp.132-142, 1988.

S. Le-cessie and J. C. Van-houwelingen, Ridge Estimators in Logistic Regression, Applied Statistics, vol.41, issue.1, pp.191-201, 1992.
DOI : 10.2307/2347628

P. Mccullagh and J. A. Nelder, Generalized Linear Models, p.399, 1989.

T. P. Minka, A Comparison of Numerical Optimizers for Logistic Regres- 401 sion, 2003.

M. F. Porter, An algorithm for suffix stripping, Program, vol.14, issue.3, 1980.
DOI : 10.1108/eb046814

G. Salton, A. Wong, and C. S. Yang, A vector space model for automatic indexing, Communications of the ACM, vol.18, issue.11, pp.613-620, 1975.
DOI : 10.1145/361219.361220

R. Tibshirani, Regression Shrinkage and Selection Via the Lasso, Journal 406 of the Royal Statistical Society, Series B, vol.58, pp.267-288, 1994.

V. N. Vapnik, The nature of statistical learning theory, 1995.

T. Zhang and F. J. Oles, Text Categorization Based on Regularized Linear 412 Classification Methods, Information Retrieval, vol.4, issue.1, pp.5-31, 2001.
DOI : 10.1023/A:1011441423217

P. Zhao and B. Yu, On Model Selection Consistency of Lasso. The Journal 414 of, Machine Learning Research, vol.7, pp.2541-2563, 2006.

H. Zou and T. Hastie, Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.5, issue.2, pp.301-320, 2005.
DOI : 10.1073/pnas.201162998