A weighted wrapper approach to feature selection

DOI10.34768/amcs-2021-0047OpenAlexW4225781374MaRDI QIDQ2115924

Maciej Kusy, Roman Zajdel

Publication date: 15 March 2022

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

Full work available at URL: https://doaj.org/article/1d4a9f1a2d774c1fa95f153fd49b2b2b

zbMATH Keywords

feature selectionconvolutional neural networkclassification accuracywrapper approachfeature significanceweighted combined ranking

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Multivariate analysis (62Hxx) Communication, information (94Axx)

Related Items (1)

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

Uses Software

• UCI-ml
• ImageNet
• ReliefF
• AlexNet

Cites Work

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• Wrappers for feature subset selection
• Theoretical and empirical analysis of ReliefF and RReliefF
• Impact of low resolution on image recognition with deep neural networks: an experimental study
• A Branch and Bound Algorithm for Feature Subset Selection
• 10.1162/153244303322753616
• Determinant and Exchange Algorithms for Observation Subset Selection
• A Direct Method of Nonparametric Measurement Selection

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