Search Machine Learning Repository: @inproceedings{icml2014c2_cortesa14,
    Publisher = {JMLR Workshop and Conference Proceedings},
    Title = {Ensemble Methods for Structured Prediction},
    Url = {http://jmlr.org/proceedings/papers/v32/cortesa14.pdf},
    Abstract = {We present a series of learning algorithms and theoretical guarantees for designing accurate ensembles of structured prediction tasks. This includes several randomized and deterministic algorithms devised by converting on-line learning algorithms to batch ones, and a boosting-style algorithm applicable in the context of structured prediction with a large number of labels. We give a detailed study of all these algorithms, including the description of new on-line-to-batch conversions and learning guarantees. We also report the results of extensive experiments with these algorithms in several structured prediction tasks.},
    Author = {Corinna Cortes and Vitaly Kuznetsov and Mehryar Mohri},
    Editor = {Tony Jebara and Eric P. Xing},
    Year = {2014},
    Booktitle = {Proceedings of the 31st International Conference on Machine Learning (ICML-14)},
    Pages = {1134-1142}
   }