Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables.
Scott DaviesAndrew W. MoorePublished in: UAI (2000)
Keyphrases
- mixtures of gaussians
- continuous and discrete variables
- bayesian networks
- state space
- gaussian mixture
- structure learning
- kl divergence
- probabilistic model
- probability distribution
- probabilistic inference
- reinforcement learning
- posterior probability
- face recognition
- random variables
- graphical models
- dynamic programming
- density estimation
- hidden variables
- conditional probabilities
- information theoretic
- incomplete data
- search space
- high dimensional