Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria

Research article (Information Sciences, 2022) · cited 27× · AI/ML
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Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria

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Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria. Retrieved May 24, 2026, from https://4ort.xyz/entity/fuzzy-information-theoretic-feature-selection-via-relevance-redundancy-and-complementarity-criteria
MLA “Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fuzzy-information-theoretic-feature-selection-via-relevance-redundancy-and-complementarity-criteria.
BibTeX @misc{4ortxyz_fuzzy-information-theoretic-feature-selection-via-relevance-redundancy-and-complementarity-criteria_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria}}, year = {2026}, url = {https://4ort.xyz/entity/fuzzy-information-theoretic-feature-selection-via-relevance-redundancy-and-complementarity-criteria}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria — https://4ort.xyz/entity/fuzzy-information-theoretic-feature-selection-via-relevance-redundancy-and-complementarity-criteria (retrieved 2026-05-24)

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