FSPL: a meta-learning approach for a filter and embedded feature selection pipeline

DOI10.34768/amcs-2023-0009MaRDI QIDQ6100072

Teddy Lazebnik, Avi Rosenfeld

Publication date: 21 June 2023

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

zbMATH Keywords

genetic algorithmmeta-learningno free lunchautoMLfeature selection pipeline

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Multivariate analysis (62Hxx) Computer science (68-XX)

Cites Work

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• A weighted wrapper approach to feature selection
• Joint feature selection and classification for positive unlabelled multi-label data using weighted penalized empirical risk minimization
• Metalearning
• Karl Pearson and the Chi-Squared Test
• Combined SVM-based feature selection and classification

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