Convex multi-task feature learning, Machine Learning, 2008. ,

An improved multi-task learning approach with applications in medical diagnosis, Proceedings of the 18th European Conference on Machine Learning, 2008. ,

Enhancing sparsity by reweighted ? 1 minimization, J. Fourier Analysis and Applications, vol.14, pp.877-905, 2008. ,

Sparse solutions to linear inverse problems with multiple measurement vectors, IEEE Transactions on Signal Processing, vol.53, issue.7, pp.2477-2488, 2005. ,

Regularized multi-task learning, Proceedings of the tenth Conference on Knowledge Discovery andData minig, 2004. ,

Dc programming : overview, Journal of Optimization Theory and Applications, vol.103, pp.1-41, 1999. ,

Multi-task learning via conic programming, Advances in Neural Information Processing Systems, 2008. ,

Asymptotics for lasso-type estimators, The Annals of Statistics, vol.28, issue.5, pp.1356-1378, 2000. ,

DOI : 10.1214/aos/1015957397

Non parametric regression and classification with joint sparsity constraints, Advances in Neural Information Processing Systems 21, 2009. ,

Multi-task feature selection, 2007. ,

Transfer learning for image classification with sparse prototype representations, Proceedings of CVPR, pp.2491-2521, 2008. ,

Ensemble of SVMs for improving brain-computer interface p300 speller performances, 15th International Conference on Artificial Neural Networks, 2005. ,

Beyond the point cloud : from transductive to semi-supervised learning, Proceedings of International Conference on Machine Learning, 2005. ,

Sparse eigen methods by d.c. programming, Proceedings of the 24 th International Conference on Machine Learning, 2007. ,

Composite kernel learning, Proceedings of the 22nd International Conference on Machine Learning, 2008. ,

Probabilistic joint feature selection for multi-task learning, Proceedings of SIAM International Conference on Data Mining, 2006. ,

Learning gaussian processes from multiple tasks, Proceeding of the 22nd International Conference on Machine Learning, 2005. ,

The composite absolute penalties family for grouped and hierarchical variable selection, Annals of Statistics ,