Graphical model selection for a particular class of continuous-time processes.
Mattia ZorziPublished in: Kybernetika (2019)
Keyphrases
- graphical models
- belief propagation
- probabilistic inference
- probabilistic model
- random variables
- chain graphs
- probabilistic graphical models
- conditional random fields
- approximate inference
- structure learning
- conditional independence
- bayesian networks
- markov networks
- markov chain
- belief networks
- map inference
- conditional dependencies
- exact inference
- gaussian graphical models
- graph structure
- factor graphs
- hidden markov models
- three dimensional
- statistical inference
- efficient learning
- class labels
- state space
- structural learning
- pairwise