A tutorial on the EM algorithm for Bayesian networks: Application to self-diagnosis of GPON-FTTH networks.
Serge Romaric TemboSandrine VatonJean-Luc CourantStéphane GosselinPublished in: IWCMC (2016)
Keyphrases
- em algorithm
- expectation maximization
- bayesian networks
- incomplete data
- maximum likelihood
- hidden variables
- gaussian mixture model
- parameter learning
- mixture model
- parameter estimation
- likelihood function
- generative model
- maximum a posteriori
- maximum likelihood estimation
- expectation maximisation
- gaussian mixture
- network structure
- structure learning
- log likelihood
- model based clustering
- graphical models
- mixture distribution
- mixture modeling
- finite mixtures
- probability density function
- gibbs sampling
- conditional probabilities
- image processing
- random variables
- probabilistic model
- image sequences