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Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models

Research article (arXiv (Cornell University), 2018) · cited 18× · AI/ML
academia openalex:W2963691276
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Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models

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Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models is a scholarly article[1].

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  • Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models's instance of is recorded as scholarly article[2].

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Paul Edward Rayson

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-j-k-fold-cross-validation-to-reduce-variance-when-tuning-nlp-models
MLA “Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-j-k-fold-cross-validation-to-reduce-variance-when-tuning-nlp-models.
BibTeX @misc{4ortxyz_using-j-k-fold-cross-validation-to-reduce-variance-when-tuning-nlp-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models}}, year = {2026}, url = {https://4ort.xyz/entity/using-j-k-fold-cross-validation-to-reduce-variance-when-tuning-nlp-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models — https://4ort.xyz/entity/using-j-k-fold-cross-validation-to-reduce-variance-when-tuning-nlp-models (retrieved 2026-05-24)

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