Parameter Estimation in Bayesian Networks from Incomplete Databases.
Marco RamoniPaola SebastianiPublished in: Intell. Data Anal. (1998)
Keyphrases
- parameter estimation
- bayesian networks
- databases
- structure learning
- least squares
- maximum likelihood
- incomplete data
- em algorithm
- markov random field
- model selection
- parameter learning
- statistical models
- random fields
- expectation maximization
- approximate inference
- parameter values
- parameter estimation algorithm
- maximum likelihood estimation
- graphical models
- parameters estimation
- posterior distribution
- conditional probabilities
- parameter estimates
- estimation problems
- position estimation
- conditional independence
- similarity measure
- machine learning
- gibbs sampling
- missing values
- clustering algorithm
- computer vision