Bayesian Learning
A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical model (a type of statistical model) that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). (Wikipedia)
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
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Euclidean metric is suboptimal and that feature distributions are heterogeneous.
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3ac48664b7886cf4e4ab4aba7e6b6bc9-Paper.pdf
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And model misspecification has not been considered as an unresolved issue [36,38,53,54].
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Sample Efficient Bayesian Learning of Causal Graphs from Interventions Zihan Zhou
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In general, interventional data, i.e., data collected after a perturbation in
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