Constraint-Free Structure Learning with Smooth Acyclic Orientations.
Riccardo MassiddaFrancesco LandolfiMartina CinquiniDavide BacciuPublished in: CoRR (2023)
Keyphrases
- structure learning
- graphical models
- bayesian networks
- conditional independence
- parameter learning
- transfer learning
- bayesian network classifiers
- bayesian network structure learning
- parameter estimation
- markov logic networks
- random variables
- np hard
- structure learning algorithm
- markov networks
- network structure
- belief propagation
- probabilistic model
- sample size
- upper bound
- data sets