Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation.
Artur MrowcaFlorian GyrockStephan GünnemannPublished in: Data Min. Knowl. Discov. (2022)
Keyphrases
- parameter estimation
- bayesian networks
- parameter values
- probabilistic model
- statistical models
- model selection
- parameter estimation algorithm
- random fields
- em algorithm
- maximum likelihood
- least squares
- maximum likelihood estimation
- model fitting
- markov random field
- statistical model
- structure learning
- parameter estimates
- expectation maximization
- hidden markov models
- image segmentation
- approximate inference
- parameters estimation
- computer vision