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
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Relevance vector machine with optimal hybrid kernel function for electric vehicles ownership forecasting: The case of China

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Relevance vector machine with optimal hybrid kernel function for electric vehicles ownership forecasting: The case of China is a scholarly article[1].

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APA 4ort.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}}
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