An efficient feature selection framework based on information theory for high dimensional data

Research article (Applied Soft Computing, 2021) · cited 44× · AI/ML
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An efficient feature selection framework based on information theory for high dimensional data

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An efficient feature selection framework based on information theory for high dimensional data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient feature selection framework based on information theory for high dimensional data. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-feature-selection-framework-based-on-information-theory-for-high-dimensional-data
MLA “An efficient feature selection framework based on information theory for high dimensional data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-feature-selection-framework-based-on-information-theory-for-high-dimensional-data.
BibTeX @misc{4ortxyz_an-efficient-feature-selection-framework-based-on-information-theory-for-high-dimensional-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient feature selection framework based on information theory for high dimensional data}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-feature-selection-framework-based-on-information-theory-for-high-dimensional-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient feature selection framework based on information theory for high dimensional data — https://4ort.xyz/entity/an-efficient-feature-selection-framework-based-on-information-theory-for-high-dimensional-data (retrieved 2026-05-24)

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