H. S. Melihcan Erol

Regularized Domain Adaptation for Estimation Tasks in Partially Observed Target Domains

The performance of machine learning algorithms is limited by the availability of training data. Transfer learning can alleviate this limitation by adapting models trained in data-rich domains to a data-sparse domain. In this work, we propose a method for data augmentation in a partially sampled data…