Cost-constrained feature selection in multilabel classification using an information-theoretic approach

Tomasz Klonecki; Paweł Teisseyre; Jaesung Lee

doi:10.1016/j.patcog.2023.109605

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Cost-constrained feature selection in multilabel classification using an information-theoretic approach

Tomasz Klonecki Paweł Teisseyre Jaesung Lee

Year: 2023 Journal: Pattern Recognition Vol: 141 Pages: 109605-109605 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2023.109605

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Keywords:

Feature selection Relevance (law) Feature (linguistics) Computer science Data mining Mutual information Selection (genetic algorithm) Artificial intelligence Machine learning Information gain Pattern recognition (psychology)

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Cost-constrained feature selection in multilabel classification using an information-theoretic approach

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Citation History

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