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Functional models and algorithms for sparse signal processing
Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.
Deconvolution algorithms for diffusion MRI
The sparse Bayesian learning sandbox
R Package for Automatic Relevance Determination