A Brief Introduction to Boosting
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Invited Speakers. Pages 1401-1405.
Abstract
Boosting is a general method for improving the accuracy of any given learning algorithm. This short paper introduces the boosting algorithm AdaBoost, and explains the underlying theory of boosting, including an explanation of why boosting often does not suffer from overfitting. Some examples of recent applications of boosting are also described.
Robert E. Schapire. 1999. A Brief Introduction to Boosting. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99. IJCAI, 1401–1405. https://ijcai.org/proceedings/1999/198
Schapire, R. E. (1999). A Brief Introduction to Boosting. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99 (pp. 1401–1405). IJCAI. https://ijcai.org/proceedings/1999/198
@inproceedings{ijcai1999p198,
title = {A Brief Introduction to Boosting},
author = {Schapire, Robert E.},
booktitle = {Proceedings of the Sixteenth International Joint Conference on
Artificial Intelligence, {IJCAI-99}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Thomas Dean},
pages = {1401--1405},
year = {1999},
note = {Invited Speakers},
url = {https://ijcai.org/proceedings/1999/198},
}
TY - CPAPER TI - A Brief Introduction to Boosting AU - Schapire, Robert E. T2 - Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99 PB - International Joint Conferences on Artificial Intelligence PY - 1999 SP - 1401 EP - 1405 UR - https://ijcai.org/proceedings/1999/198 ER -Copied
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