Parameter Learning in Object-Oriented Bayesian Networks.
Helge LangsethOlav BangsøPublished in: Ann. Math. Artif. Intell. (2001)
Keyphrases
- parameter learning
- bayesian networks
- object oriented
- structure learning
- bayesian network learning
- conditional random fields
- probability distribution
- maximum likelihood
- generative model
- statistical learning
- conditional probabilities
- probabilistic modeling
- conditional independence
- random variables
- graphical models
- probabilistic inference
- probabilistic model
- hidden variables
- approximate inference
- markov networks
- em algorithm
- posterior probability
- distributed systems
- conditional probability tables
- hidden markov models