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Found 2 papers, 1 papers with code
Scalable Structure Learning for Sparse Context-Specific Causal Systems
Several approaches to graphically representing context-specific relations among jointly distributed categorical variables have been proposed, along with structure learning algorithms.
Graphical posterior predictive classifier: Bayesian model averaging with particle Gibbs
In this study, we present a multi-class graphical Bayesian predictive classifier that incorporates the uncertainty in the model selection into the standard Bayesian formalism.
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