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06/24/2023
Tuning structure learning algorithms with out-of-sample and resampling strategies
One of the challenges practitioners face when applying structure learnin...
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06/17/2022
The Impact of Variable Ordering on Bayesian Network Structure Learning
Causal Bayesian Networks provide an important tool for reasoning under u...
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06/11/2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound
Discovering and parameterising latent confounders represent important an...
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02/19/2022
Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning
Score-based algorithms that learn the structure of Bayesian networks can...
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12/20/2021
Hybrid Bayesian network discovery with latent variables by scoring multiple interventions
In Bayesian Networks (BNs), the direction of edges is crucial for causal...
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01/31/2021
Information fusion between knowledge and data in Bayesian network structure learning
Bayesian Networks (BNs) have become a powerful technology for reasoning ...
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01/25/2021
How do some Bayesian Network machine learned graphs compare to causal knowledge?
The graph of a Bayesian Network (BN) can be machine learned, determined ...
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11/19/2020
Improving Bayesian Network Structure Learning in the Presence of Measurement Error
Structure learning algorithms that learn the graph of a Bayesian network...
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06/08/2020
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets
Score-based algorithms that learn Bayesian Network (BN) structures provi...
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05/29/2020
Bayesian network structure learning with causal effects in the presence of latent variables
Latent variables may lead to spurious relationships that can be misinter...
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05/18/2020
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data
Numerous Bayesian Network (BN) structure learning algorithms have been p...
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12/02/2019