On the Uncertainty Identification for Linear Dynamic Systems Using Stochastic Embedding Approach with Gaussian Mixture Models

Research article (Sensors, 2021) · cited 13× · AI/ML
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On the Uncertainty Identification for Linear Dynamic Systems Using Stochastic Embedding Approach with Gaussian Mixture Models

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On the Uncertainty Identification for Linear Dynamic Systems Using Stochastic Embedding Approach with Gaussian Mixture Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). On the Uncertainty Identification for Linear Dynamic Systems Using Stochastic Embedding Approach with Gaussian Mixture Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/on-the-uncertainty-identification-for-linear-dynamic-systems-using-stochastic-embedding-approach-with-gaussian-mixture-m
MLA “On the Uncertainty Identification for Linear Dynamic Systems Using Stochastic Embedding Approach with Gaussian Mixture Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/on-the-uncertainty-identification-for-linear-dynamic-systems-using-stochastic-embedding-approach-with-gaussian-mixture-m.
BibTeX @misc{4ortxyz_on-the-uncertainty-identification-for-linear-dynamic-systems-using-stochastic-embedding-approach-with-gaussian-mixture-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{On the Uncertainty Identification for Linear Dynamic Systems Using Stochastic Embedding Approach with Gaussian Mixture Models}}, year = {2026}, url = {https://4ort.xyz/entity/on-the-uncertainty-identification-for-linear-dynamic-systems-using-stochastic-embedding-approach-with-gaussian-mixture-m}, note = {Accessed: 2026-05-24}}
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