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Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications
Research article (IEEE Transactions on Microwave Theory and Techniques, 2023) · cited 14× · AI/ML
Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications
Summary
Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications is a scholarly article[1].
Key Facts
Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications's instance of is recorded as scholarly article[2].
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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.
APA4ort.xyz Knowledge Graph. (2026). Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/bridging-the-gap-between-artificial-neural-networks-and-kernel-regressions-for-vector-valued-problems-in-microwave-appli
MLA“Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bridging-the-gap-between-artificial-neural-networks-and-kernel-regressions-for-vector-valued-problems-in-microwave-appli.
BibTeX@misc{4ortxyz_bridging-the-gap-between-artificial-neural-networks-and-kernel-regressions-for-vector-valued-problems-in-microwave-appli_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications}}, year = {2026}, url = {https://4ort.xyz/entity/bridging-the-gap-between-artificial-neural-networks-and-kernel-regressions-for-vector-valued-problems-in-microwave-appli}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bridging the Gap Between Artificial Neural Networks and Kernel Regressions for Vector-Valued Problems in Microwave Applications — https://4ort.xyz/entity/bridging-the-gap-between-artificial-neural-networks-and-kernel-regressions-for-vector-valued-problems-in-microwave-appli (retrieved 2026-05-24)
