---
title: "Managing Domain Knowledge and Multiple Models with Boosting"
authors:
  - "Peng Zang"
  - "Charles Lee Isbell Jr."
doi: ""
url: "https://ijcai.org/proceedings/2007/185"
pdf: "https://ijcai.org/proceedings/2007/0185.pdf"
venue: "Proceedings of the Twentieth International Joint Conference on Artificial Intelligence"
year: 2007
pages: "1144-1148"
track: ""
keywords:
---

# Managing Domain Knowledge and Multiple Models with Boosting

Peng Zang, Charles Lee Isbell Jr.

*Proceedings of the Twentieth International Joint Conference on Artificial Intelligence*, pages 1144-1148.

## Abstract

We present MBoost, a novel extension to AdaBoost that extends boosting to use multiple weak learners explicitly, and provides robustness to learning models that overfit or are poorly matched to data. We demonstrate MBoost on a variety of problems and compare it to cross validation for model selection.