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Predicting the Variables That Determine University (Re-)Entrance as a Career Development Using Support Vector Machines with Recursive Feature Elimination: The Case of South Korea
Research article (Sustainability, 2020) · cited 12× · AI/ML
Predicting the Variables That Determine University (Re-)Entrance as a Career Development Using Support Vector Machines with Recursive Feature Elimination: The Case of South Korea
Summary
Predicting the Variables That Determine University (Re-)Entrance as a Career Development Using Support Vector Machines with Recursive Feature Elimination: The Case of South Korea is a scholarly article[1].
Key Facts
Predicting the Variables That Determine University (Re-)Entrance as a Career Development Using Support Vector Machines with Recursive Feature Elimination: The Case of South Korea's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Predicting the Variables That Determine University (Re-)Entrance as a Career Development Using Support Vector Machines with Recursive Feature Elimination: The Case of South Korea. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-variables-that-determine-university-re-entrance-as-a-career-development-using-support-vector-machines-wit
MLA“Predicting the Variables That Determine University (Re-)Entrance as a Career Development Using Support Vector Machines with Recursive Feature Elimination: The Case of South Korea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-the-variables-that-determine-university-re-entrance-as-a-career-development-using-support-vector-machines-wit.
BibTeX@misc{4ortxyz_predicting-the-variables-that-determine-university-re-entrance-as-a-career-development-using-support-vector-machines-wit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the Variables That Determine University (Re-)Entrance as a Career Development Using Support Vector Machines with Recursive Feature Elimination: The Case of South Korea}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-variables-that-determine-university-re-entrance-as-a-career-development-using-support-vector-machines-wit}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting the Variables That Determine University (Re-)Entrance as a Career Development Using Support Vector Machines with Recursive Feature Elimination: The Case of South Korea — https://4ort.xyz/entity/predicting-the-variables-that-determine-university-re-entrance-as-a-career-development-using-support-vector-machines-wit (retrieved 2026-05-24)
