Kernel-based parameter estimation of dynamical systems with unknown observation functions.
Ofir LindenbaumAmir SagivGal MishneRonen TalmonPublished in: CoRR (2020)
Keyphrases
- parameter estimation
- dynamical systems
- maximum likelihood
- differential equations
- markov random field
- least squares
- dynamic systems
- nonlinear dynamical systems
- model selection
- statistical models
- parameter estimation algorithm
- random fields
- em algorithm
- approximate inference
- expectation maximization
- qualitative simulation
- parameter estimates
- state space
- estimation problems
- support vector
- model fitting
- partially observable markov decision processes
- phase space
- agent environment
- similarity measure
- predictive state representations
- machine learning