Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices With a Large Number of Parameters

Research article (IEEE Access, 2018) · cited 100× · AI/ML
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Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices With a Large Number of Parameters

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Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices With a Large Number of Parameters is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices With a Large Number of Parameters. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-and-uncertainty-quantification-for-surrogate-models-of-integrated-devices-with-a-large-number-of-parame
MLA “Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices With a Large Number of Parameters.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-and-uncertainty-quantification-for-surrogate-models-of-integrated-devices-with-a-large-number-of-parame.
BibTeX @misc{4ortxyz_machine-learning-and-uncertainty-quantification-for-surrogate-models-of-integrated-devices-with-a-large-number-of-parame_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices With a Large Number of Parameters}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-and-uncertainty-quantification-for-surrogate-models-of-integrated-devices-with-a-large-number-of-parame}, note = {Accessed: 2026-05-24}}
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