Dirichlet belief networks for topic structure learning.
He ZhaoLan DuWray L. BuntineMingyuan ZhouPublished in: CoRR (2018)
Keyphrases
- belief networks
- structure learning
- graphical models
- bayesian networks
- belief propagation
- probabilistic inference
- probabilistic model
- parameter learning
- random variables
- conditional independence
- approximate inference
- probability distribution
- probabilistic reasoning
- exact inference
- markov logic networks
- markov networks
- conditional probabilities
- conditional random fields
- transfer learning
- data sets
- message passing
- sample size
- parameter estimation
- network structure
- fuzzy logic
- pairwise
- training set
- neural network