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Machine Learning of Time Series Using Time-Delay Embedding and Precision Annealing

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Publication:5214389
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DOI10.1162/neco_a_01224zbMath1452.68159arXiv1902.05062OpenAlexW2967076903WikidataQ92497780 ScholiaQ92497780MaRDI QIDQ5214389

Paul. J. Rozdeba, Zheng Fang, Rivver A. Gonzalez, Alexander J. A. Ty, Henry D. I. Abarbanel

Publication date: 7 February 2020

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1902.05062



Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Learning and adaptive systems in artificial intelligence (68T05)



Uses Software

  • EnKF
  • GitHub
  • VarAnneal


Cites Work

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  • Predicting the future. Completing models of observed complex systems
  • On the number of samples necessary to achieve observability
  • Discrete mechanics and variational integrators
  • Independent coordinates for strange attractors from mutual information
  • Some NP-complete problems in quadratic and nonlinear programming
  • Generic Observability of Differentiable Systems
  • Machine Learning: Deepest Learning as Statistical Data Assimilation Problems
  • Data Assimilation
  • The ensemble Kalman filter for combined state and parameter estimation
  • Time series prediction and neural networks
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