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A Framework for Machine Learning of Model Error in Dynamical Systems

A Framework for Machine Learning of Model Error in Dynamical Systems

Santa Fe Institute via YouTube Direct link

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16 of 16

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A Framework for Machine Learning of Model Error in Dynamical Systems

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  1. 1 Introduction
  2. 2 Machine Learning
  3. 3 Background
  4. 4 The Goal
  5. 5 Linear Oscillator Example
  6. 6 Partial Information
  7. 7 Limiting Sense
  8. 8 First Example
  9. 9 Memoryless Closure
  10. 10 Error Epsilon
  11. 11 Hybrid Modeling
  12. 12 Additive Residuals
  13. 13 Discrete vs Continuous
  14. 14 Notation
  15. 15 Conclusion
  16. 16 Thanks

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