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Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels
Research article (Research in the Mathematical Sciences, 2021) · cited 25× · AI/ML
Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels
Summary
Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels is a scholarly article[1].
Key Facts
Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels. Retrieved May 24, 2026, from https://4ort.xyz/entity/kolmogorov-width-decay-and-poor-approximators-in-machine-learning-shallow-neural-networks-random-feature-models-and-neur
MLA“Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/kolmogorov-width-decay-and-poor-approximators-in-machine-learning-shallow-neural-networks-random-feature-models-and-neur.
BibTeX@misc{4ortxyz_kolmogorov-width-decay-and-poor-approximators-in-machine-learning-shallow-neural-networks-random-feature-models-and-neur_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels}}, year = {2026}, url = {https://4ort.xyz/entity/kolmogorov-width-decay-and-poor-approximators-in-machine-learning-shallow-neural-networks-random-feature-models-and-neur}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels — https://4ort.xyz/entity/kolmogorov-width-decay-and-poor-approximators-in-machine-learning-shallow-neural-networks-random-feature-models-and-neur (retrieved 2026-05-24)
