An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian Networks From Data.
Andrés CanoAndrés R. MasegosaSerafín MoralPublished in: IPMU (2010)
Keyphrases
- expert knowledge
- importance sampling
- learning bayesian networks from data
- bayesian networks
- approximate inference
- monte carlo
- markov chain
- expert systems
- bayesian network structures
- domain knowledge
- kalman filter
- graphical models
- particle filter
- fuzzy logic
- probabilistic inference
- particle filtering
- prior knowledge
- knowledge base
- markov chain monte carlo
- posterior probability
- random variables
- conditional probabilities
- domain experts
- probability distribution
- posterior distribution
- artificial intelligence
- neural network
- missing data