Predictor output sensitivity and feature similarity-based feature selection

DOI10.1016/J.FSS.2007.05.020zbMath1191.68538OpenAlexW2061500280MaRDI QIDQ834484

M. Bacauskiene, D. Valincius, Adas Gelzinis, Antanas Verikas

Publication date: 26 August 2009

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2007.05.020

zbMATH Keywords

classificationfuzzy setsfeature selectionsupport vector machine

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• FST

Cites Work

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• The mean value of a fuzzy number
• Towards fuzzy differential calculus. III: Differentiation
• Ranking and defuzzification methods based on area compensation
• Feature analysis: Neural network and fuzzy set theoretic approaches
• FS\(_-\)SFS: a novel feature selection method for support vector machines
• Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery
• Feature selection toolbox software package
• Feature selection with neural networks
• 10.1162/153244303322753643
• Feature selection using tabu search method
• Gene selection for cancer classification using support vector machines

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