2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
Identifying Incorrect Classifications with Balanced Uncertainty
Bolian Li, Zige Zheng, Changqing Zhang
Uncertainty estimation is critical for cost-sensitive deep-learning applications (i.e. disease diagnosis). It is very challenging partly due to the inaccessibility of uncertainty g…
cs.AI2020
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection
Shuyin Xia, Wenhua Li, Guoyin Wang +3
In this paper, we propose and prove the theorem regarding the stability of attributes in a decision system. Based on the theorem, we propose the LRA framework for accelerating roug…
cs.LG2020
Ball k-means
Shuyin Xia, Daowan Peng, Deyu Meng +4
This paper presents a novel accelerated exact k-means algorithm called the Ball k-means algorithm, which uses a ball to describe a cluster, focusing on reducing the point-centroid…