Discretizing Dynamics for Maximum Likelihood Constraint Inference.
Kaylene C. StockingDavid Livingston McPhersonRobert P. MatthewClaire J. TomlinPublished in: CoRR (2021)
Keyphrases
- maximum likelihood
- parameter learning
- parameter estimation
- maximum likelihood estimation
- em algorithm
- dynamical systems
- likelihood function
- physical constraints
- bayesian networks
- additive noise
- inference engine
- bayesian inference
- inference mechanism
- data sets
- gaussian distribution
- dynamic model
- hyperparameters
- global constraints
- belief networks
- structured prediction
- inference process
- posterior probability
- genetic algorithm