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Latent Network Construction for Univariate Time Series Based on Variational Auto-Encode
Time series analysis has been an important branch of information processing, and the conversion of time series into complex networks provides a new means to understand and analyze time series. In this work, using Variational Auto-Encode (VAE), we explored the construction of latent networks for univ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394240/ https://www.ncbi.nlm.nih.gov/pubmed/34441211 http://dx.doi.org/10.3390/e23081071 |