Interpretable Outcome Prediction with Sparse Bayesian Neural Networking
A type of Bayesian Neural Network which has a sparsity-inducing prior distribution in order to help interpret the learned weights. Particularly useful in the domain of healthcare but scales to many other domains, as it…