Boosting

Description

Ensemble methods are widely used techniques in machine learning that combine hypotheses to form more accurate predictors.


Related Publications
Corinna Cortes, Mehryar Mohri, and Umar Syed.
Deep boosting.
In Proceedings of the 31st International Conference on Machine Learning (ICML 2014). Beijing, China, June 2014.

Vitaly Kuznetsov, Mehryar Mohri, and Umar Syed.
Multi-class deep boosting.
In Advances in Neural Information Processing Systems (NIPS 2014). Montréal, Canada, 2014. MIT Press.

Giulia DeSalvo, Mehryar Mohri, and Umar Syed.
Learning with deep cascades.
In Proceedings of The 26th International Conference on Algorithmic Learning Theory (ALT 2015). volume 9355, pages 254-269, Banff, Canada, October 2015. Springer, Heidelberg, Germany.

Giulia DeSalvo and Mehryar Mohri.
Random composite forests.
In Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016). AAAI Press, 2016.

Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, and Umar Syed.
Structural Maxent models.
In Proceedings of the 32nd International Conference on Machine Learning (ICML 2015). Lille, France, July 2015.