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A Novel Consistent Random Forest Framework: Bernoulli Random Forests

Research article (IEEE Transactions on Neural Networks and Learning Systems, 2017) · cited 107× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
August 15, 2017as of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Published in
IEEE Transactions on Neural Networks and Learning Systemsas of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
Title
A Novel Consistent Random Forest Framework: Bernoulli Random Forestsas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 3
OpenAlex ID
W2746722496as of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
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4ort-mint · openalex:20260923 · version not recorded
DOI
10.1109/TNNLS.2017.2729778as of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
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4ort-mint · openalex:20260923 · version not recorded
PubMed publication ID
28816676as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
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4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 4
Qingtao Tang, Shu‐Tao Xia, Xingquan Zhu, Yisen Wang
← Author of 4
Qingtao Tang, Shu‐Tao Xia, Xingquan Zhu, Yisen Wang
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Summary

A Novel Consistent Random Forest Framework: Bernoulli Random Forests is a scholarly article[1].

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.

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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.

APA 4ort.xyz Knowledge Graph. (2026). A Novel Consistent Random Forest Framework: Bernoulli Random Forests. Retrieved October 17, 2026, from https://4ort.xyz/entity/a-novel-consistent-random-forest-framework-bernoulli-random-forests
MLA “A Novel Consistent Random Forest Framework: Bernoulli Random Forests.” 4ort.xyz Knowledge Graph, 4ort.xyz, 17 Oct. 2026, https://4ort.xyz/entity/a-novel-consistent-random-forest-framework-bernoulli-random-forests.
BibTeX @misc{4ortxyz_a-novel-consistent-random-forest-framework-bernoulli-random-forests_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Consistent Random Forest Framework: Bernoulli Random Forests}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-consistent-random-forest-framework-bernoulli-random-forests}, note = {Accessed: 2026-10-17}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel Consistent Random Forest Framework: Bernoulli Random Forests — https://4ort.xyz/entity/a-novel-consistent-random-forest-framework-bernoulli-random-forests (retrieved 2026-10-17)

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