Cost-constrained group feature selection using information theory

DOI10.1007/978-3-031-33498-6_8OpenAlexW4377081320MaRDI QIDQ6072457

Tomasz Klonecki, Jaesung Lee, Paweł Teisseyre

Publication date: 13 October 2023

Published in: Modeling Decisions for Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-031-33498-6_8

zbMATH Keywords

mutual informationinformation theorycostly featuresgroup feature selection

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Statistical aspects of information-theoretic topics (62B10)

Cites Work

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• Can high-order dependencies improve mutual information based feature selection?
• Multiple testing of conditional independence hypotheses using information-theoretic approach
• Estimation of Entropy and Mutual Information
• 10.1162/153244303322753616
• Model Selection and Estimation in Regression with Grouped Variables
• Elements of Information Theory

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