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Empirical Analysis using Feature Selection and Bootstrap Data for Small Sample Size Problems

Research article (2019 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2019) · cited 15× · AI/ML
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Empirical Analysis using Feature Selection and Bootstrap Data for Small Sample Size Problems

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Empirical Analysis using Feature Selection and Bootstrap Data for Small Sample Size Problems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Empirical Analysis using Feature Selection and Bootstrap Data for Small Sample Size Problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/empirical-analysis-using-feature-selection-and-bootstrap-data-for-small-sample-size-problems
MLA “Empirical Analysis using Feature Selection and Bootstrap Data for Small Sample Size Problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/empirical-analysis-using-feature-selection-and-bootstrap-data-for-small-sample-size-problems.
BibTeX @misc{4ortxyz_empirical-analysis-using-feature-selection-and-bootstrap-data-for-small-sample-size-problems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Empirical Analysis using Feature Selection and Bootstrap Data for Small Sample Size Problems}}, year = {2026}, url = {https://4ort.xyz/entity/empirical-analysis-using-feature-selection-and-bootstrap-data-for-small-sample-size-problems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Empirical Analysis using Feature Selection and Bootstrap Data for Small Sample Size Problems — https://4ort.xyz/entity/empirical-analysis-using-feature-selection-and-bootstrap-data-for-small-sample-size-problems (retrieved 2026-05-24)

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