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Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling.
Lei Cheng
Feng Yin
Sergios Theodoridis
Sotirios Chatzis
Tsung-Hui Chang
Published in:
CoRR (2022)
Keyphrases
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bayesian learning
data analysis
variational bayes
model selection
prior knowledge
posterior distribution
probabilistic inference
machine learning
support vector
upper bound
high dimensional data
prior information
bayesian inference
dynamic bayesian networks