2 papers
cs.LG2021
Multi-class Probabilistic Bounds for Self-learning
Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
Self-learning is a classical approach for learning with both labeled and unlabeled observations which consists in giving pseudo-labels to unlabeled training instances with a confid…
cs.LG2019
Semi-supervised Wrapper Feature Selection by Modeling Imperfect Labels
Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
In this paper, we propose a new wrapper feature selection approach with partially labeled training examples where unlabeled observations are pseudo-labeled using the predictions of…