Multi-task ordinal regression with labeled and unlabeled data

Yanshan Xiao, Liangwang Zhang, Bo Liu, Ruichu Cai, Zhifeng Hao

Abstract: Highlights•The multi-task ordinal regression problem is addressed.•The unlabeled samples are incorporated into the learning process via manifold regularization.•The knowledge is shared among different tasks by setting a shared norm vector.