A Scalable Strategy for the Identification of Latent-Variable Graphical Models.
Daniele AlpagoMattia ZorziAugusto FerrantePublished in: IEEE Trans. Autom. Control. (2022)
Keyphrases
- graphical models
- latent variables
- probabilistic model
- random variables
- approximate inference
- probabilistic graphical models
- factor graphs
- belief propagation
- probabilistic inference
- bayesian networks
- latent variable models
- exact inference
- posterior distribution
- conditional random fields
- markov networks
- gaussian process
- structure learning
- conditional independence
- topic models
- generative model
- real valued
- map inference
- bayesian inference
- belief networks
- hidden variables
- prior knowledge
- latent space
- maximum likelihood
- undirected graphical models
- structured prediction
- machine learning
- co occurrence
- statistical relational learning
- causal relationships
- message passing
- expectation maximization
- parameter estimation