Home ›
Entities
› academia
› CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio
CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio
Research article (IEEE Access, 2020) · cited 32× · AI/ML
CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio
Summary
CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio is a scholarly article[1].
Key Facts
CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio. Retrieved May 24, 2026, from https://4ort.xyz/entity/cbrg-a-novel-algorithm-for-handling-missing-data-using-bayesian-ridge-regression-and-feature-selection-based-on-gain-rat
MLA“CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cbrg-a-novel-algorithm-for-handling-missing-data-using-bayesian-ridge-regression-and-feature-selection-based-on-gain-rat.
BibTeX@misc{4ortxyz_cbrg-a-novel-algorithm-for-handling-missing-data-using-bayesian-ridge-regression-and-feature-selection-based-on-gain-rat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio}}, year = {2026}, url = {https://4ort.xyz/entity/cbrg-a-novel-algorithm-for-handling-missing-data-using-bayesian-ridge-regression-and-feature-selection-based-on-gain-rat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio — https://4ort.xyz/entity/cbrg-a-novel-algorithm-for-handling-missing-data-using-bayesian-ridge-regression-and-feature-selection-based-on-gain-rat (retrieved 2026-05-24)