8 citations · 18 across the 6 of their papers we have counts for
4 papers · 1 filter
How do some Bayesian Network machine learned graphs compare to causal knowledge?
Anthony C. Constantinou, Norman Fenton, Martin Neil
The graph of a Bayesian Network (BN) can be machine learned, determined by causal knowledge, or a combination of both. In disciplines like bioinformatics, applying BN structure lea…
Improving Bayesian Network Structure Learning in the Presence of Measurement Error
Yang Liu, Anthony C. Constantinou, ZhiGao Guo
Structure learning algorithms that learn the graph of a Bayesian network from observational data often do so by assuming the data correctly reflect the true distribution of the var…
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets
Zhigao Guo, Anthony C. Constantinou
Score-based algorithms that learn Bayesian Network (BN) structures provide solutions ranging from different levels of approximate learning to exact learning. Approximate solutions…
Learning Bayesian networks from demographic and health survey data
Neville Kenneth Kitson, Anthony C. Constantinou
Child mortality from preventable diseases such as pneumonia and diarrhoea in low and middle-income countries remains a serious global challenge. We combine knowledge with available…