Search Results for author:
Found 2 papers, 0 papers with code
Neural lasso: a unifying approach of lasso and neural networks
For this reason, a modification of the standard approach for training neural networks, that mimics the statistical framework, is proposed.
Marginal likelihood computation for model selection and hypothesis testing: an extensive review
This is an up-to-date introduction to, and overview of, marginal likelihood computation for model selection and hypothesis testing.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
