Multi-Stage Multi-Task Feature Learning
Multi-task sparse feature learning aims to improve the generalization performance by exploiting the shared features among tasks. It has been successfully applied to many applications including computer vision and biomedical informatics. Most of the existing multi-task sparse feature learning algorit...
Saved in:
Published in | Advances in neural information processing systems Vol. 14; p. 2979 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
01.10.2013
|
Online Access | Get more information |
Cover
Loading…
Be the first to leave a comment!