相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A feature selection method via analysis of relevance, redundancy, and interaction
Lianxi Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
New uncertainty measurement for categorical data based on fuzzy information structures: An application in attribute reduction
Qinli Zhang et al.
INFORMATION SCIENCES (2021)
Dynamic interaction feature selection based on fuzzy rough set
Jihong Wan et al.
INFORMATION SCIENCES (2021)
A feature selection algorithm of decision tree based on feature weight
HongFang Zhou et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
A novel approach to attribute reduction based on weighted neighborhood rough sets
Meng Hu et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Unsupervised attribute reduction for mixed data based on fuzzy rough sets
Zhong Yuan et al.
INFORMATION SCIENCES (2021)
A novel hybrid feature selection method considering feature interaction in neighborhood rough set
Jihong Wan et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Feature selection via normative fuzzy information weight with application into tumor classification
Jianhua Dai et al.
APPLIED SOFT COMPUTING (2020)
Relevance assignation feature selection method based on mutual information for machine learning
Liyang Gao et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Feature selection based on feature interactions with application to text categorization
Xiaochuan Tang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization
Feiping Nie et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
Feature selection for imbalanced data based on neighborhood rough sets
Hongmei Chen et al.
INFORMATION SCIENCES (2019)
Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification
Lin Sun et al.
INFORMATION SCIENCES (2019)
Feature selection considering two types of feature relevancy and feature interdependency
Liang Hu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Attribute reduction based on max-decision neighborhood rough set model
Xiaodong Fan et al.
KNOWLEDGE-BASED SYSTEMS (2018)
High-dimensional hybrid feature selection using interaction information-guided search
Songyot Nakariyakul
KNOWLEDGE-BASED SYSTEMS (2018)
Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information
Yaojin Lin et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)
Feature Selection by Maximizing Independent Classification Information
Jun Wang et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2017)
Two hybrid wrapper-filter feature selection algorithms applied to high-dimensional microarray experiments
Javier Apolloni et al.
APPLIED SOFT COMPUTING (2016)
Efficient feature selection based on correlation measure between continuous and discrete features
Sheng-yi Jiang et al.
INFORMATION PROCESSING LETTERS (2016)
Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy
Xiao Zhang et al.
PATTERN RECOGNITION (2016)
Feature selection using Joint Mutual Information Maximisation
Mohamed Bennasar et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
A novel feature selection method considering feature interaction
Zilin Zeng et al.
PATTERN RECOGNITION (2015)
Fingerprint orientation field reconstruction by weighted discrete cosine transform
Manhua Liu et al.
INFORMATION SCIENCES (2014)
Feature Interaction Maximisation
Mohamed Bennasar et al.
PATTERN RECOGNITION LETTERS (2013)
Neighborhood rough set based heterogeneous feature subset selection
Qinghua Hu et al.
INFORMATION SCIENCES (2008)
Information-preserving hybrid data reduction based on fuzzy-rough techniques
QH Hu et al.
PATTERN RECOGNITION LETTERS (2006)
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
HC Peng et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
Consistency-based search in feature selection
M Dash et al.
ARTIFICIAL INTELLIGENCE (2003)
Theoretical and empirical analysis of ReliefF and RReliefF
M Robnik-Sikonja et al.
MACHINE LEARNING (2003)