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Online Ensemble Learning: An Empirical Study
- In Proceedings of the Seventeenth International Conference on Machine Learning
, 2000
"... We study resource-limited online learning, motivated by the problem of conditional-branch outcome prediction in computer architecture. In particular, we consider (parallel) time and space-efficient ensemble learners for online settings, empirically demonstrating benefits similar to those shown pre ..."
Abstract
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Cited by 32 (1 self)
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We study resource-limited online learning, motivated by the problem of conditional-branch outcome prediction in computer architecture. In particular, we consider (parallel) time and space-efficient ensemble learners for online settings, empirically demonstrating benefits similar to those shown previously for offline ensembles.
