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Expectation propagation on the diluted Bayesian classifier
Efficient feature selection from high-dimensional datasets is a very important challenge in many data-driven fields of science and engineering.
Compressed sensing reconstruction using Expectation Propagation
Many interesting problems in fields ranging from telecommunications to computational biology can be formalized in terms of large underdetermined systems of linear equations with additional constraints or regularizers.
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