Latent Variables in Bayesian Network Construction and Inference.
Jun ZhuManikandan NarayananBin ZhangKai WangPublished in: BIOCOMP (2010)
Keyphrases
- latent variables
- posterior distribution
- variational bayes
- variational approximation
- probabilistic model
- markov chain monte carlo
- exact inference
- variational inference
- structured prediction
- bayesian inference
- factor graphs
- gaussian process
- random variables
- bayesian learning
- bayesian networks
- hierarchical model
- real valued
- prior knowledge
- approximate inference
- probabilistic graphical models
- hidden variables
- latent variable models
- gaussian processes
- topic models
- max margin
- structural svms
- structural svm
- gibbs sampling
- observed variables
- conditionally independent
- dynamic bayesian networks
- causal relationships
- latent topics
- hyperparameters
- probabilistic inference
- graphical models
- information extraction
- probability distribution
- feature space
- decision trees
- data sets