Y. Bengio, J. Louradour, R. Collobert, W. , and J. , Curriculum learning, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, 2009.
DOI : 10.1145/1553374.1553380

A. Bordes, S. Ertekin, J. Weston, and L. Bottou, Fast kernel classiers with online and active learning, Journal of Machine Learning Research, vol.6, p.15791619, 2005.

A. Bordes, L. Bottou, P. Gallinari, W. , and J. , Solving multiclass support vector machines with LaRank, Proceedings of the 24th international conference on Machine learning, ICML '07, 2007.
DOI : 10.1145/1273496.1273508
URL : https://hal.archives-ouvertes.fr/hal-00750277

A. Bordes, N. Usunier, and L. Bottou, Sequence Labelling SVMs Trained in One Pass, Proc. of ECML PKDD, p.146161, 2008.
DOI : 10.1007/978-3-540-87479-9_28
URL : https://hal.archives-ouvertes.fr/hal-00752369

L. Bottou and C. Lin, Support vector machine solvers, Large Scale Kernel Machines, p.301320, 2007.

G. Cauwenberghs and T. Poggio, Incremental and decremental support vector machine learning, Advances in Neural Processing Systems, 2001.

S. Dasgupta and D. Hsu, Hierarchical sampling for active learning, Proceedings of the 25th international conference on Machine learning, ICML '08, 2008.
DOI : 10.1145/1390156.1390183

V. Franc and S. Sonnenburg, OCAS optimized cutting plane algorithm for support vector machines, Proc of the 25th International Conference on Machine Learning. Omnipress, 2008.

T. Joachims, Training linear SVMs in linear time, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '06, 2006.
DOI : 10.1145/1150402.1150429

G. Schohn and D. Cohn, Less is more: Active learning with support vector machines, Proc. of the 17th International Conference on Machine Learning, p.839846, 2000.

S. Shalev-shwartz and Y. Singer, A primal-dual perspective of online learning algorithms, Machine Learning, p.115142, 2007.
DOI : 10.1007/s10994-007-5014-x

S. Shalev-shwartz, Y. Singer, and N. Srebro, Pegasos, Proceedings of the 24th international conference on Machine learning, ICML '07, p.807814, 2007.
DOI : 10.1145/1273496.1273598

A. Smola, S. V. Vishwanathan, L. , and Q. , Bundle methods for machine learning, Advances in Neural Information Processing Systems, p.13771384, 2008.

I. Steinwart, Sparseness of support vector machinessome asymptotically sharp bounds, Advances in Neural Information Processing Systems 16, 2004.