Feature selection for classification with class-separability strategy and data envelopment analysis

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).

feature selection General Classification

Feature Selection with Redundancy-complementariness Dispersion

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.

feature selection General Classification

A spatial-temporal short-term traffic flow prediction model based on dynamical-learning graph convolution mechanism

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.

Management Traffic Prediction