A novel feature selection using Markov blanket representative set and particle swarm optimization algorithm

DOI10.1007/s40314-023-02221-0OpenAlexW4320716904MaRDI QIDQ2695662

Tong Ning, Liqin Sun, Youlong Yang

Publication date: 31 March 2023

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-023-02221-0

zbMATH Keywords

feature selectionparticle swarm optimizationmaximal information coefficientapproximate Markov blanket representative setsuboptimal feature subset

Mathematics Subject Classification ID

Statistical aspects of big data and data science (62R07)

Uses Software

• UCI-ml
• ElemStatLearn

Cites Work

• Unnamed Item
• Detecting Novel Associations in Large Data Sets
• Towards scalable and data efficient learning of Markov boundaries
• An efficient semi-supervised representatives feature selection algorithm based on information theory
• Maximum relevance minimum common redundancy feature selection for nonlinear data
• Markov blanket-embedded genetic algorithm for gene selection
• Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction
• Improvements to Platt's SMO Algorithm for SVM Classifier Design
• Symbolic and Quantitative Approaches to Reasoning with Uncertainty