no code implementations • 6 May 2014 • Yishi Zhang, Chao Yang, Anrong Yang, Chan Xiong, Xingchi Zhou, Zigang Zhang
In this paper, a novel feature selection method is presented, which is based on Class-Separability (CS) strategy and Data Envelopment Analysis (DEA).
no code implementations • 1 Feb 2015 • Zhijun Chen, Chaozhong Wu, Yishi Zhang, Zhen Huang, Bin Ran, Ming Zhong, Nengchao Lyu
Feature selection has attracted significant attention in data mining and machine learning in the past decades.
no code implementations • 10 May 2022 • Zhijun Chen, Zhe Lu, Qiushi Chen, Hongliang Zhong, Yishi Zhang, Jie Xue, Chaozhong Wu
Location-GCN solves this problem by adding a new learnable matrix into the GCN mechanism, using the absolute value of this matrix to represent the distinct influence levels among different nodes.