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Handwriting identification using random forests and score‐based likelihood ratios

Research article (Statistical Analysis and Data Mining The ASA Data Science Journal, 2021) · cited 12× · AI/ML
academia openalex:W4200459851
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Handwriting identification using random forests and score‐based likelihood ratios

Summary

Handwriting identification using random forests and score‐based likelihood ratios is a scholarly article[1].

Key Facts

  • Handwriting identification using random forests and score‐based likelihood ratios's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Handwriting identification using random forests and score‐based likelihood ratios. Retrieved May 24, 2026, from https://4ort.xyz/entity/handwriting-identification-using-random-forests-and-scorebased-likelihood-ratios
MLA “Handwriting identification using random forests and score‐based likelihood ratios.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/handwriting-identification-using-random-forests-and-scorebased-likelihood-ratios.
BibTeX @misc{4ortxyz_handwriting-identification-using-random-forests-and-scorebased-likelihood-ratios_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Handwriting identification using random forests and score‐based likelihood ratios}}, year = {2026}, url = {https://4ort.xyz/entity/handwriting-identification-using-random-forests-and-scorebased-likelihood-ratios}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Handwriting identification using random forests and score‐based likelihood ratios — https://4ort.xyz/entity/handwriting-identification-using-random-forests-and-scorebased-likelihood-ratios (retrieved 2026-05-24)

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