Home › Entities › academia › Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation

Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation

Research article (Knowledge-Based Systems, 2020) · cited 83× · AI/ML
academia openalex:W3073853843
Press Enter · cited answer in seconds

Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation

Summary

Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation is a scholarly article[1].

Key Facts

  • Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation. Retrieved May 24, 2026, from https://4ort.xyz/entity/novel-multi-label-feature-selection-via-label-symmetric-uncertainty-correlation-learning-and-feature-redundancy-evaluati
MLA “Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/novel-multi-label-feature-selection-via-label-symmetric-uncertainty-correlation-learning-and-feature-redundancy-evaluati.
BibTeX @misc{4ortxyz_novel-multi-label-feature-selection-via-label-symmetric-uncertainty-correlation-learning-and-feature-redundancy-evaluati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation}}, year = {2026}, url = {https://4ort.xyz/entity/novel-multi-label-feature-selection-via-label-symmetric-uncertainty-correlation-learning-and-feature-redundancy-evaluati}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation — https://4ort.xyz/entity/novel-multi-label-feature-selection-via-label-symmetric-uncertainty-correlation-learning-and-feature-redundancy-evaluati (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/novel-multi-label-feature-selection-via-label-symmetric-uncertainty-correlation-learning-and-feature-redundancy-evaluati · Last refreshed: