Annealed Importance Sampling for Structure Learning in Bayesian Networks.
Teppo Mikael NiinimäkiMikko KoivistoPublished in: IJCAI (2013)
Keyphrases
- importance sampling
- structure learning
- bayesian networks
- approximate inference
- graphical models
- monte carlo
- conditional independence
- markov chain
- posterior probability
- kalman filter
- parameter learning
- particle filter
- probabilistic inference
- markov chain monte carlo
- parameter estimation
- particle filtering
- probability distribution
- posterior distribution
- markov networks
- structure learning algorithm
- probabilistic model
- transfer learning
- conditional probabilities
- random variables
- hidden variables
- incomplete data