« Time Series Generation » : différence entre les versions


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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 form the past information since time series data is characterized by its temporal dependencies.''
''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.''

Dernière 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

Français

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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

Source : arxiv

Source : arxiv

Contributeurs: Arianne