Robust Label Prediction via Label Propagation and Geodesic k-Nearest Neighbor in Online Semi-Supervised Learning
Yuichiro Wada, Siqiang SU, Wataru Kumagai, Takafumi Kanamori · IEICE Transactions on Information and Systems · 2019
This paper proposes a computationally efficient offline semi-supervised algorithm that yields a more accurate prediction than the label propagation algorithm, which is commonly used in online graphbased semi-supervised learning (SSL).Our proposed method is an offline method that is intended to assist online graph-based SSL algorithms.The efficacy of the tool in creating new learning algorithms of this type is demonstrated in numerical experiments.