Maximum likelihood parameter estimation in probabilistic fuzzy classifiers.
Ludo WaltmanUzay KaymakJan van den BergPublished in: FUZZ-IEEE (2005)
Keyphrases
- random variables
- parameter estimation
- maximum likelihood
- bayesian networks
- graphical models
- em algorithm
- probabilistic model
- maximum likelihood estimation
- metropolis hastings algorithm
- fuzzy sets
- parameter estimation algorithm
- expectation maximization
- likelihood function
- generative model
- statistical models
- approximate inference
- parameter values
- random fields
- feature selection
- model fitting
- hyperparameters
- gaussian distribution
- support vector
- maximum a posteriori
- parameter estimates
- parameters estimation
- estimation problems
- posterior distribution
- parameter learning
- synthetic aperture radar
- model selection
- fuzzy numbers
- semi supervised
- bayesian model selection