Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables.
Zhiwei QiKun YueLiang DuanKuang HuZhihong LiangPublished in: Inf. Sci. (2022)
Keyphrases
- parameter learning
- latent variables
- bayesian networks
- approximate inference
- hidden variables
- probabilistic graphical models
- probabilistic model
- factor graphs
- max margin
- structure learning
- conditional random fields
- random variables
- generative model
- latent space
- statistical learning
- posterior distribution
- exact inference
- gaussian process
- graphical models
- parameter estimation
- maximum likelihood
- expectation maximization
- markov random field
- topic models
- em algorithm
- probabilistic inference
- conditional independence
- incomplete data
- bayesian inference
- markov networks
- conditional probabilities
- missing values
- knowledge discovery
- prior knowledge