Search Machine Learning Repository:
Ensemble Methods for Structured Prediction
Authors: Corinna Cortes, Vitaly Kuznetsov and Mehryar Mohri
Conference: Proceedings of the 31st International Conference on Machine Learning (ICML-14)
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.
authors venues years
Suggest Changes to this paper.
Brought to you by the WUSTL Machine Learning Group. We have open faculty positions (tenured and tenure-track).