2023
Transductive Matrix Completion with Calibration for Multi-Task Learning
ICASSP 2023accepted
Multi-task learning has attracted much attention due to growing multi-purpose research with multiple related data sources. More- over, transduction with matrix completion is a useful method in multi-label learning. In this paper, we propose a transductive matrix completion algorithm that incorporate…