Differentiable TAN Structure Learning for Bayesian Network Classifiers.
Wolfgang RothFranz PernkopfPublished in: CoRR (2020)
Keyphrases
- bayesian network classifiers
- structure learning
- bayesian networks
- graphical models
- conditional independence
- transfer learning
- parameter learning
- loss function
- parameter estimation
- network structure
- random variables
- sample size
- approximate inference
- markov networks
- continuous variables
- information extraction
- probabilistic model
- discriminative learning
- active learning