Parameter estimation via conditional expectation: a Bayesian inversion.
Hermann G. MatthiesElmar ZanderBojana V. RosicAlexander LitvinenkoPublished in: Adv. Model. Simul. Eng. Sci. (2016)
Keyphrases
- parameter estimation
- conditional expectation
- posterior distribution
- maximum likelihood
- decision theory
- least squares
- weighted least squares
- bayesian model selection
- model selection
- em algorithm
- markov random field
- generalization error
- random fields
- expectation maximization
- approximate inference
- markov fields
- maximum likelihood estimation
- parameter estimation algorithm
- bayesian networks
- artificial intelligence
- decision theoretic
- cross validation
- dempster shafer
- motion parameters
- estimation problems
- gaussian processes
- estimation error
- machine learning
- maximum a posteriori
- image reconstruction
- training data
- decision making
- feature selection
- learning algorithm