Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias

no code implementations • 3 Sep 2015 • Yohei Kondo, Kohei Hayashi, Shin-ichi Maeda

A common strategy for sparse linear regression is to introduce regularization, which eliminates irrelevant features by letting the corresponding weights be zeros.

Bayesian Inference feature selection