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Recurrent dictionary learning for state-space models with an application in stock forecasting.

Shalini SharmaVíctor ElviraÉmilie ChouzenouxAngshul Majumdar
Published in: Neurocomputing (2021)
Keyphrases
  • dictionary learning
  • state space
  • sparse representation
  • sparse coding
  • prior knowledge
  • image super resolution
  • neural network
  • feature selection
  • stock market
  • trading systems
  • group sparsity