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Shalova et al., 2020 - Google Patents

Deep Representation Learning for Dynamical Systems Modeling

Shalova et al., 2020

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Document ID
16714581470716973463
Author
Shalova A
Oseledets I
Publication year
Publication venue
arXiv preprint arXiv:2002.05111

External Links

Snippet

Proper states' representations are the key to the successful dynamics modeling of chaotic systems. Inspired by recent advances of deep representations in various areas such as natural language processing and computer vision, we propose the adaptation of the state-of …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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