Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery.
Alexander GraßTill DöhmenChristian BeecksPublished in: ICDE Workshops (2022)
Keyphrases
- structure learning
- neural network
- bayesian networks
- markov logic networks
- structure and parameter learning
- sample size
- dependency structure
- graphical models
- fuzzy neural network
- parameter learning
- network structure
- bayesian network classifiers
- structure learning algorithm
- bayesian network structure learning
- conditional independence tests
- data mining
- transfer learning
- random variables
- parameter estimation
- worst case