Update Rules for Parameter Estimation in Bayesian Networks.
Eric BauerDaphne KollerYoram SingerPublished in: UAI (1997)
Keyphrases
- parameter estimation
- update rules
- bayesian networks
- structure learning
- least squares
- maximum likelihood
- model selection
- statistical models
- markov random field
- approximate inference
- loss function
- particle swarm optimisation
- random fields
- parameter values
- conditional independence
- parameter estimation algorithm
- probability distribution
- em algorithm
- expectation maximization
- random variables
- graphical models
- conditional probabilities
- markov chain monte carlo
- posterior distribution
- stochastic logic programs
- posterior probability
- image restoration
- higher order
- probabilistic model
- evolutionary algorithm
- pairwise