ML Anthology

Incorporating Expert Judgement into Bayesian Network Machine Learning

Yun Zhou, Norman E. Fenton, Martin Neil, Cheng Zhu
IJCAI 2013 pp. 3249-3250
/ijcai/2013/zhou2013ijcai-incorporating/

Abstract

We review the challenges of Bayesian network learning, especially parameter learning, and specify the problem of learning with sparse data. We explain how it is possible to incorporate both qualitative knowledge and data with a multinomial parameter learning method to achieve more accurate predictions with sparse data.

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Cite

Text

Zhou et al. "Incorporating Expert Judgement into Bayesian Network Machine Learning." International Joint Conference on Artificial Intelligence, 2013.

Markdown

[Zhou et al. "Incorporating Expert Judgement into Bayesian Network Machine Learning." International Joint Conference on Artificial Intelligence, 2013.](https://mlanthology.org/ijcai/2013/zhou2013ijcai-incorporating/)

BibTeX

@inproceedings{zhou2013ijcai-incorporating,
  title     = {{Incorporating Expert Judgement into Bayesian Network Machine Learning}},
  author    = {Zhou, Yun and Fenton, Norman E. and Neil, Martin and Zhu, Cheng},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2013},
  pages     = {3249-3250},
  url       = {https://mlanthology.org/ijcai/2013/zhou2013ijcai-incorporating/}
}