ML Anthology

Managing Domain Knowledge and Multiple Models with Boosting

Peng Zang, Charles Lee Isbell Jr.
IJCAI 2007 pp. 1144-1149
/ijcai/2007/zang2007ijcai-managing/

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.

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Text

Zang and Jr.. "Managing Domain Knowledge and Multiple Models with Boosting." International Joint Conference on Artificial Intelligence, 2007.

Markdown

[Zang and Jr.. "Managing Domain Knowledge and Multiple Models with Boosting." International Joint Conference on Artificial Intelligence, 2007.](https://mlanthology.org/ijcai/2007/zang2007ijcai-managing/)

BibTeX

@inproceedings{zang2007ijcai-managing,
  title     = {{Managing Domain Knowledge and Multiple Models with Boosting}},
  author    = {Zang, Peng and Jr., Charles Lee Isbell},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2007},
  pages     = {1144-1149},
  url       = {https://mlanthology.org/ijcai/2007/zang2007ijcai-managing/}
}