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Found 2 papers, 1 papers with code
Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty
Modern statistical learning algorithms are capable of amazing flexibility, but struggle with interpretability.
Subgroup Discovery in Unstructured Data
Subgroup discovery is a descriptive and exploratory data mining technique to identify subgroups in a population that exhibit interesting behavior with respect to a variable of interest.
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