Search Results for author:
Found 1 papers, 0 papers with code
Bayesian Transfer Learning
Transfer learning is a burgeoning concept in statistical machine learning that seeks to improve inference and/or predictive accuracy on a domain of interest by leveraging data from related domains.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
