An improved relief feature selection algorithm based on Monte-Carlo tree search

The goal of feature selection methods is to find the optimal feature subset by eliminating irrelevant or redundant information from the original feature space according to some evaluation criteria. In the literature, the Relief algorithm is a typical feature selection method, which is simple and eas...

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Bibliographic Details
Main Authors: Jianyang Zheng, Hexing Zhu, Fangfang Chang, Yunlong Liu
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Systems Science & Control Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/21642583.2019.1661312