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A Unified Granular-ball Learning Model of Pawlak Rough Set and
  Neighborhood Rough Set
v1v2v3v4 (latest)

A Unified Granular-ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set

10 January 2022
Shuyin Xia
Cheng-Yu Wang
Guoyin Wang
Weiping Ding
Xinbo Gao
Jianhang Yu
Yujia Zhai
Zizhong Chen
ArXiv (abs)PDFHTML

Papers citing "A Unified Granular-ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set"

5 / 5 papers shown
Title
An Efficient and Accurate Rough Set for Feature Selection,
  Classification and Knowledge Representation
An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation
Shuyin Xia
Xinyu Bai
Guoyin Wang
Deyu Meng
Xinbo Gao
Yunlong Cheng
Elisabeth Giem
68
19
0
29 Dec 2021
Infinite Feature Selection: A Graph-based Feature Filtering Approach
Infinite Feature Selection: A Graph-based Feature Filtering Approach
Giorgio Roffo
Simone Melzi
U. Castellani
Alessandro Vinciarelli
Marco Cristani
63
111
0
15 Jun 2020
Ranking to Learn: Feature Ranking and Selection via Eigenvector
  Centrality
Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality
Giorgio Roffo
Simone Melzi
80
58
0
18 Apr 2017
Generalized Fisher Score for Feature Selection
Generalized Fisher Score for Feature Selection
Quanquan Gu
Z. Li
Jiawei Han
70
762
0
14 Feb 2012
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
627
756
0
04 Apr 2008
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