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Online Bagging and Boosting (2001)
by
Nikunj C. Oza
,
Stuart Russell
| Venue: | In Artificial Intelligence and Statistics 2001 |
| Citations: | 137 - 1 self |
BibTeX
@INPROCEEDINGS{Oza01onlinebagging,
author = {Nikunj C. Oza and Stuart Russell},
title = {Online Bagging and Boosting},
booktitle = {In Artificial Intelligence and Statistics 2001},
year = {2001},
pages = {105--112},
publisher = {Morgan Kaufmann}
}
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Abstract
Bagging and boosting are well-known ensemble learning methods. They combine multiple learned base models with the aim of improving generalization performance. To date, they have been used primarily in batch mode, and no effective online versions have been proposed. We present simple online bagging and boosting algorithms that we claim perform as well as their batch counterparts.
