Parameter Estimation Problems in Markov Random Processes.
Vladimir KarelinAlexander FominyhStanislav MyshkovLyudmila N. PolyakovaPublished in: ICCSA (4) (2019)
Keyphrases
- parameter estimation
- estimation problems
- maximum likelihood
- parameter estimation algorithm
- least squares
- model selection
- statistical models
- em algorithm
- markov random field
- expectation maximization
- model fitting
- maximum likelihood estimation
- random fields
- bayesian networks
- maximum entropy
- parameter estimates
- maximum a posteriori
- structure learning
- approximate inference
- parameter values
- machine learning
- three dimensional