Structural Learning of Probabilistic Graphical Models of Cumulative Phenomena.
Daniele RamazzottiMarco S. NobileMarco AntoniottiAlex GraudenziPublished in: ICCS (1) (2018)
Keyphrases
- structural learning
- probabilistic graphical models
- graphical models
- belief propagation
- probabilistic inference
- random variables
- markov networks
- bayesian networks
- probabilistic model
- undirected graphical models
- approximate inference
- conditional random fields
- exact inference
- belief networks
- structure learning
- latent variables
- first order logic
- machine learning