Abstract
Transfer learning is a popular strategy to use knowledge extracted from a given source domain to solve another target task. There are many strategies for transfer learning, from sampling part of the data from the source domain to using models induced in a source domain as starting solutions to solve the target tasks. This work will investigate the issue of choosing which source domain can…