Talha Cihad Gulcu

A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models

Self-training is a classical approach in semi-supervised learning which is successfully applied to a variety of machine learning problems. Self-training algorithms generate pseudo-labels for the unlabeled examples and progressively refine these pseudo-labels which hopefully coincides with the actual…