Home ›
Entities
› academia
› Relevance vector machine with optimal hybrid kernel function for electric vehicles ownership forecasting: The case of China
Relevance vector machine with optimal hybrid kernel function for electric vehicles ownership forecasting: The case of China
Research article (Energy Reports, 2022) · cited 25× · AI/ML
Relevance vector machine with optimal hybrid kernel function for electric vehicles ownership forecasting: The case of China
Summary
Relevance vector machine with optimal hybrid kernel function for electric vehicles ownership forecasting: The case of China is a scholarly article[1].
Key Facts
Relevance vector machine with optimal hybrid kernel function for electric vehicles ownership forecasting: The case of China'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). Relevance vector machine with optimal hybrid kernel function for electric vehicles ownership forecasting: The case of China. Retrieved May 24, 2026, from https://4ort.xyz/entity/relevance-vector-machine-with-optimal-hybrid-kernel-function-for-electric-vehicles-ownership-forecasting-the-case-of-chi
MLA“Relevance vector machine with optimal hybrid kernel function for electric vehicles ownership forecasting: The case of China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/relevance-vector-machine-with-optimal-hybrid-kernel-function-for-electric-vehicles-ownership-forecasting-the-case-of-chi.
BibTeX@misc{4ortxyz_relevance-vector-machine-with-optimal-hybrid-kernel-function-for-electric-vehicles-ownership-forecasting-the-case-of-chi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Relevance vector machine with optimal hybrid kernel function for electric vehicles ownership forecasting: The case of China}}, year = {2026}, url = {https://4ort.xyz/entity/relevance-vector-machine-with-optimal-hybrid-kernel-function-for-electric-vehicles-ownership-forecasting-the-case-of-chi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Relevance vector machine with optimal hybrid kernel function for electric vehicles ownership forecasting: The case of China — https://4ort.xyz/entity/relevance-vector-machine-with-optimal-hybrid-kernel-function-for-electric-vehicles-ownership-forecasting-the-case-of-chi (retrieved 2026-05-24)