Update Rules for Parameter Estimation in Bayesian Networks
Eric BauerDaphne KollerYoram SingerPublished in: CoRR (2013)
Keyphrases
- parameter estimation
- update rules
- bayesian networks
- structure learning
- least squares
- markov random field
- maximum likelihood
- model selection
- approximate inference
- em algorithm
- loss function
- statistical models
- parameter estimation algorithm
- random fields
- posterior distribution
- expectation maximization
- conditional independence
- particle swarm optimisation
- graphical models
- posterior probability
- parameter values
- probabilistic model
- hidden variables
- probability distribution
- generative model
- belief propagation
- markov chain monte carlo
- exact inference
- random variables
- pairwise
- image sequences