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Learning and forgetting using reinforced Bayesian change detection

Fig 2

Directed Acyclic Graph of the HAFVF model.

Plain circles represent observed variables, white circles represent latent variables and dots represents prior distribution parameters. Dashed circles and dashed arrows represent approximate posteriors and approximate posterior dependencies. A weighted prior latent node is highlighed.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1006713.g002