Sparse Bayesian Learning via Stepwise Regression
Sebastian Ament 1 Carla Gomes 1
Abstract variously referred to as a feature or an atom. This problem
has been studied extensively, resulting in myriad existing
Sparse Bayesian Learning (SBL) is a powerful
methods and algorithms.
framework for attaining sparsity in probabilistic
models. Herein, we propose a coordinate ...


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