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Kawashima et al., 2021 - Google Patents

Bayesian dynamic mode decomposition with variational matrix factorization

Kawashima et al., 2021

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Document ID
16909467375237140055
Author
Kawashima T
Shouno H
Hino H
Publication year
Publication venue
Proceedings of the AAAI Conference on Artificial Intelligence

External Links

Snippet

Dynamic mode decomposition (DMD) and its extensions are data-driven methods that have substantially contributed to our understanding of dynamical systems. However, because DMD and most of its extensions are deterministic, it is difficult to treat probabilistic …
Continue reading at ojs.aaai.org (PDF) (other versions)

Classifications

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