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Scalable method for Bayesian experimental design without integrating over posterior distribution.
Vinh Hoang
Luis Espath
Sebastian Krumscheid
Raúl Tempone
Published in:
CoRR (2023)
Keyphrases
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posterior distribution
experimental design
probability distribution
prior distribution
pairwise
probabilistic model
parameter estimation
data sets
decision trees
bayesian networks
prior knowledge
classification accuracy
feature set
em algorithm
generative model