Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE.
Johann RudiJulie BessacAmanda LenziPublished in: CoRR (2020)
Keyphrases
- parameter estimation
- model selection
- maximum likelihood
- least squares
- parameter values
- em algorithm
- convolutional neural networks
- markov random field
- statistical models
- expectation maximization
- random fields
- posterior distribution
- approximate inference
- maximum likelihood estimation
- model fitting
- estimation problems
- parameter estimation algorithm
- structure learning
- dynamic programming
- high dimensional
- parameters estimation
- machine learning