Uncertain parameter estimation for a class of nonlinear systems using a polynomial representation of outputs.
Andrea CristofaroPublished in: J. Frankl. Inst. (2016)
Keyphrases
- machine learning
- parameter estimation
- model selection
- class of nonlinear systems
- maximum likelihood
- least squares
- markov random field
- statistical models
- parameter estimation algorithm
- em algorithm
- random fields
- posterior distribution
- parameter values
- expectation maximization
- approximate inference
- model fitting
- estimation problems
- data mining
- feature selection
- probabilistic model
- maximum likelihood estimation
- parameter estimates
- high dimensional
- neural network
- optimal control
- parameters estimation