Differentiable TAN Structure Learning for Bayesian Network Classifiers.
Wolfgang RothFranz PernkopfPublished in: PGM (2020)
Keyphrases
- bayesian network classifiers
- structure learning
- bayesian networks
- graphical models
- parameter learning
- conditional independence
- transfer learning
- loss function
- markov networks
- sample size
- parameter estimation
- random variables
- network structure
- machine learning
- data sets
- probabilistic model
- stereo matching
- conditional probabilities
- approximate inference
- maximum likelihood estimation
- text mining
- continuous variables
- active learning
- higher order