Search Results for author: Zhenyu A. Liao

Found 3 papers, 1 papers with code

A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations

1 code implementation3 Nov 2020 Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek

A Bayesian network can be learned from data using the well-known score-and-search approach, and within this approach a key consideration is how to simultaneously learn the global structure in the form of the underlying DAG and the local structure in the CPDs.

Learning All Credible Bayesian Network Structures for Model Averaging

no code implementations27 Aug 2020 Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek

However, selecting a single model (i. e., the best scoring BN) can be misleading or may not achieve the best possible accuracy.

Finding All Bayesian Network Structures within a Factor of Optimal

no code implementations12 Nov 2018 Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek

However, selecting a single model (i. e., the best scoring BN) can be misleading or may not achieve the best possible accuracy.

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