Integrating expert's knowledge constraint of time dependent exposures in structure learning for Bayesian networks.
Vahé AsvatourianPhilippe LerayStefan MichielsEmilie LanoyPublished in: Artif. Intell. Medicine (2020)
Keyphrases
- structure learning
- bayesian networks
- expert knowledge
- graphical models
- conditional independence
- learning bayesian networks
- parameter learning
- bayesian network classifiers
- transfer learning
- domain knowledge
- probabilistic reasoning
- posterior probability
- structure learning algorithm
- bayesian network structures
- markov logic networks
- probabilistic inference
- knowledge base
- markov networks
- continuous variables
- parameter estimation
- knowledge discovery
- probability distribution
- expert systems
- structure and parameter learning
- sample size
- prior knowledge
- reinforcement learning
- bayesian framework
- network structure
- random variables