Smart task orderings for active online multitask learning
Paul Pang, Jianbei An, Jing Zhao, Xiaosong Li, Tao Ban, Daisuke Inoue, Hossein Sarrafzadeh · Unitec Research Bank (Unitec Institute of Technology) · 2014
This paper promotes active oMTL (i.e., Online Multitask Learning with task selection) by proposing two smart task ordering approaches: QR-decomposition Ordering and Minimal-loss Ordering, in which the optimal sequence of tasks for oMTL is computed as the training data/tasks are being presented. Our experimental results on four real-world datasets show that the proposed task orderings outperform all existing task ordering approaches to active oMTL.