Proceedings

Incorporating Expert Judgement into Bayesian Network Machine Learning

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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
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