Multi-Task Learning with Prior Information
Multi-Task Learning with Prior Information
Multi-task learning aims to boost the generalization performance of multiple related tasks simultaneously by leveraging information contained in those tasks.In this paper, we propose a multi-task learning framework, where we utilize prior knowledge about the relations between features.We also impose a penalty on the coefficients changing for each specific feature …