Dirichlet belief networks for topic structure learning.
He ZhaoLan DuWray L. BuntineMingyuan ZhouPublished in: NeurIPS (2018)
Keyphrases
- belief networks
- structure learning
- graphical models
- bayesian networks
- belief propagation
- probabilistic inference
- approximate inference
- conditional independence
- parameter learning
- random variables
- probabilistic model
- markov networks
- probabilistic reasoning
- markov logic networks
- probability distribution
- topic models
- conditional probabilities
- conditional random fields
- exact inference
- parameter estimation
- em algorithm
- bayesian inference
- expectation maximization
- similarity measure