Home ›
Entities
› academia
› An application of machine learning regression to feature selection: a study of logistics performance and economic attribute
An application of machine learning regression to feature selection: a study of logistics performance and economic attribute
Research article (Neural Computing and Applications, 2022) · cited 38× · AI/ML
An application of machine learning regression to feature selection: a study of logistics performance and economic attribute
Summary
An application of machine learning regression to feature selection: a study of logistics performance and economic attribute is a scholarly article[1].
Key Facts
An application of machine learning regression to feature selection: a study of logistics performance and economic attribute'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). An application of machine learning regression to feature selection: a study of logistics performance and economic attribute. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-application-of-machine-learning-regression-to-feature-selection-a-study-of-logistics-performance-and-economic-attribu
MLA“An application of machine learning regression to feature selection: a study of logistics performance and economic attribute.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-application-of-machine-learning-regression-to-feature-selection-a-study-of-logistics-performance-and-economic-attribu.
BibTeX@misc{4ortxyz_an-application-of-machine-learning-regression-to-feature-selection-a-study-of-logistics-performance-and-economic-attribu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An application of machine learning regression to feature selection: a study of logistics performance and economic attribute}}, year = {2026}, url = {https://4ort.xyz/entity/an-application-of-machine-learning-regression-to-feature-selection-a-study-of-logistics-performance-and-economic-attribu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An application of machine learning regression to feature selection: a study of logistics performance and economic attribute — https://4ort.xyz/entity/an-application-of-machine-learning-regression-to-feature-selection-a-study-of-logistics-performance-and-economic-attribu (retrieved 2026-05-24)