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''' TSG''' | ''' TSG''' | ||
''Time Series Generation is a process that creates and synthesizes data that accurately mirrors real-world time series and its efficiency hinges on having large training data sets. It also requires the learning of underlaying patterns and trends | ''Time Series Generation is a process that creates and synthesizes data that accurately mirrors real-world time series and its efficiency hinges on having large training data sets. It also requires the learning of underlaying patterns and trends from the past information since time series data is characterized by its temporal dependencies.'' | ||
''Several methods for TSG exist such as VAE and GAN.'' | ''Several methods for TSG exist such as VAE and GAN.'' |
Version du 15 novembre 2024 à 16:44
en construction
Définition
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Voir aussi données spatio-temporelles, prédiction des données chronologiques, série chronologique et Time Series Imputation
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Anglais
Time Series Generation
Time-Series Generation
TSG
Time Series Generation is a process that creates and synthesizes data that accurately mirrors real-world time series and its efficiency hinges on having large training data sets. It also requires the learning of underlaying patterns and trends from the past information since time series data is characterized by its temporal dependencies.
Several methods for TSG exist such as VAE and GAN.
Source
Contributeurs: Arianne