A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions.
Syed Hasib Akhter FaruquiAdel AlaeddiniJing WangCarlos A. JaramilloPublished in: CoRR (2020)
Keyphrases
- parameter estimation
- structure learning
- bayesian networks
- parameter learning
- bayesian network structure learning
- em algorithm
- markov random field
- graphical models
- parameter estimation algorithm
- maximum likelihood estimation
- approximate inference
- maximum likelihood
- random fields
- least squares
- model selection
- expectation maximization
- structure learning algorithm
- dynamic bayesian networks
- parameter estimates
- prior knowledge
- probability distribution
- transfer learning
- markov logic networks
- bayesian network classifiers
- markov blanket
- incomplete data
- gene regulatory networks
- probabilistic reasoning
- conditional independence
- image processing
- higher order
- similarity measure