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  ...