Fast multi-label feature selection based on information-theoretic feature ranking

DOI10.1016/j.patcog.2015.04.009zbMath1394.68296OpenAlexW2086465730MaRDI QIDQ1669602

Dae-Won Kim, Jaesung Lee

Publication date: 3 September 2018

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2015.04.009

zbMATH Keywords

entropymutual informationinteraction informationmulti-label feature selection

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Measures of information, entropy (94A17)

Related Items (5)

Multi-label feature selection based on the division of label topics ⋮ Scalable multilabel learning based on feature and label dimensionality reduction ⋮ Label distribution feature selection for multi-label classification with rough set ⋮ A fuzzy set based approach for effective feature selection ⋮ Feature-specific mutual information variation for multi-label feature selection

Cites Work

• Feature selection for multi-label naive Bayes classification
• ML-KNN: A lazy learning approach to multi-label learning
• BoosTexter: A boosting-based system for text categorization
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