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Dynamic Online Label Distribution Feature Selection Based on Label Importance and Label Correlation

Dynamic Online Label Distribution Feature Selection Based on Label Importance and Label Correlation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b036d54f5ea142e6b1eb937c105f0b16

Dynamic Online Label Distribution Feature Selection Based on Label Importance and Label Correlation

About this item

Full title

Dynamic Online Label Distribution Feature Selection Based on Label Importance and Label Correlation

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2025-02, Vol.15 (3), p.1466

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Existing feature selection methods mainly target single-label learning and multi-label learning, and only a few algorithms are optimized for label distribution learning. In label distribution learning, the associated labels of each sample have different levels of importance. Therefore, multi-label feature selection algorithms cannot be directly app...

Alternative Titles

Full title

Dynamic Online Label Distribution Feature Selection Based on Label Importance and Label Correlation

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b036d54f5ea142e6b1eb937c105f0b16

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b036d54f5ea142e6b1eb937c105f0b16

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app15031466

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