Results 301 to 310 of about 7,765,049 (335)

A feature selection algorithm of decision tree based on feature weight

Expert systems with applications, 2021
In order to improve the classification accuracy, a preprocessing step is used to pre-filter some redundant or irrelevant features before decision tree construction. And a new feature selection algorithm FWDT is proposed based on this.
Hongfang Zhou, Jiawei Zhang, Yue-Qin Zhou, Xiaojie Guo, Yiming Ma   +4 more
semanticscholar   +1 more source

A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
Online streaming feature selection (OSFS) has attracted extensive attention during the past decades. Current approaches commonly assume that the feature space of fixed data instances dynamically increases without any missing data.
Di Wu, Yi He, Xin Luo, Mengchu Zhou
semanticscholar   +1 more source

A two-stage hybrid ant colony optimization for high-dimensional feature selection

Pattern Recognition, 2021
Ant colony optimization (ACO) is widely used in feature selection owing to its excellent global/local search capabilities and flexible graph representation.
Wenping Ma, Xiaobo Zhou, Hao Zhu, Longwei Li, L. Jiao   +4 more
semanticscholar   +1 more source

Binary differential evolution with self-learning for multi-objective feature selection

Information Sciences, 2020
Feature selection is an important data preprocessing method. This paper studies a new multi-objective feature selection approach, called the Binary Differential Evolution with self-learning (MOFS-BDE).
Yong Zhang, D. Gong, Xiao-zhi Gao, Tian Tian, Xiaoyan Sun   +4 more
semanticscholar   +1 more source

From explanations to feature selection: assessing SHAP values as feature selection mechanism

SIBGRAPI Conference on Graphics, Patterns and Images, 2020
Explainability has become one of the most discussed topics in machine learning research in recent years, and although a lot of methodologies that try to provide explanations to black-box models have been proposed to address such an issue, little ...
W. E. Marcilio, D. M. Eler
semanticscholar   +1 more source

Feature selection techniques for machine learning: a survey of more than two decades of research

Knowledge and Information Systems, 2023
Dipti Theng, K. Bhoyar
semanticscholar   +1 more source

Unsupervised feature selection via multiple graph fusion and feature weight learning

Science China Information Sciences, 2023
Chang Tang, Xiao Zheng, Wei Zhang, Xinwang Liu, Xinzhong Zhu, En Zhu   +5 more
semanticscholar   +1 more source

A comprehensive survey on feature selection in the various fields of machine learning

Applied intelligence (Boston), 2021
Pradip Dhal, Chandrashekhar Azad
semanticscholar   +1 more source

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
Hanchuan Peng, Fuhui Long, C. Ding
semanticscholar   +1 more source

A survey on feature selection methods

Computers & electrical engineering, 2014
Girish Chandrashekar, F. Sahin
semanticscholar   +1 more source