A hybrid fuzzy feature selection algorithm for high-dimensional regression problems: An mRMR-based framework

On the influence of using fuzzy extensions in linguistic fuzzy rule-based regression systems

(2019) Fatemeh Aghaeipoor et al.   APPLIED SOFT COMPUTING

MOKBL+MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data

(2019) Fatemeh Aghaeipoor et al.   INFORMATION SCIENCES

Feature selection in machine learning: A new perspective

(2018) Jie Cai et al.   NEUROCOMPUTING

Maximum relevance minimum common redundancy feature selection for nonlinear data

(2017) Jinxing Che et al.   INFORMATION SCIENCES

Feature selection for regression problems based on the Morisita estimator of intrinsic dimension

(2017) Jean Golay et al.   PATTERN RECOGNITION

Two hybrid wrapper-filter feature selection algorithms applied to high-dimensional microarray experiments

(2016) Javier Apolloni et al.   APPLIED SOFT COMPUTING

A Historical Account of Types of Fuzzy Sets and Their Relationships

(2016) Humberto Bustince et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

On the influence of feature selection in fuzzy rule-based regression model generation

(2016) Michela Antonelli et al.   INFORMATION SCIENCES

Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data

(2016) Sergio Ramírez-Gallego et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Dimensionality reduction by feature clustering for regression problems

(2015) Rong-Fang Xu et al.   INFORMATION SCIENCES

A multi-objective evolutionary algorithm for feature selection based on mutual information with a new redundancy measure

(2015) Zhichun Wang et al.   INFORMATION SCIENCES

frbs: Fuzzy Rule-Based Systems for Classification and Regression inR

(2015) Lala Septem Riza et al.   Journal of Statistical Software

Survey on distance metric learning and dimensionality reduction in data mining

(2014) Fei Wang et al.   DATA MINING AND KNOWLEDGE DISCOVERY

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Fuzzy Mutual Information Based min-Redundancy and Max-Relevance Heterogeneous Feature Selection

(2013) Daren Yu et al.   International Journal of Computational Intelligence Systems

A review of feature selection methods based on mutual information

(2013) Jorge R. Vergara et al.   NEURAL COMPUTING & APPLICATIONS

Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures

(2011) M.J. Gacto et al.   INFORMATION SCIENCES

Hybrid feature selection by combining filters and wrappers

(2010) Hui-Huang Hsu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Normalized Mutual Information Feature Selection

(2009) P.A. Estevez et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data

(2008) Luciano Sánchez et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING