---
title: "A Brief Introduction to Boosting"
authors:
  - "Robert E. Schapire"
doi: ""
url: "https://ijcai.org/proceedings/1999/198"
pdf: "https://ijcai.org/proceedings/1999/0198.pdf"
venue: "Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence"
year: 1999
pages: "1401-1405"
track: "Invited Speakers"
keywords:
---

# A Brief Introduction to Boosting

Robert E. Schapire

*Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence*, 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.