Incorporating Expert Judgement into Bayesian Network Machine Learning
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 3249-3249.
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.
Yun Zhou, Norman E. Fenton, Martin Neil, and Cheng Zhu. 2013. Incorporating Expert Judgement into Bayesian Network Machine Learning. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 3249–3249. https://ijcai.org/proceedings/2013/511
Zhou, Y., Fenton, N. E., Neil, M., & Zhu, C. (2013). Incorporating Expert Judgement into Bayesian Network Machine Learning. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 (pp. 3249–3249). IJCAI. https://ijcai.org/proceedings/2013/511
@inproceedings{ijcai2013p511,
title = {Incorporating Expert Judgement into Bayesian Network Machine Learning},
author = {Zhou, Yun and Fenton, Norman E. and Neil, Martin and Zhu, Cheng},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {3249--3249},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/511},
}
TY - CPAPER TI - Incorporating Expert Judgement into Bayesian Network Machine Learning AU - Zhou, Yun AU - Fenton, Norman E. AU - Neil, Martin AU - Zhu, Cheng T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 3249 EP - 3249 UR - https://ijcai.org/proceedings/2013/511 ER -Copied
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