Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks With Mixed Continuous And Discrete Variables
Scott DaviesAndrew W. MoorePublished in: CoRR (2013)
Keyphrases
- mixtures of gaussians
- continuous and discrete variables
- bayesian networks
- state space
- gaussian mixture
- dynamic programming
- reinforcement learning
- kl divergence
- conditional probabilities
- probabilistic model
- structure learning
- graphical models
- random variables
- machine learning
- posterior probability
- parameter estimation
- mutual information
- probability distribution
- search space
- statistical model
- covariance matrix
- probability density function
- em algorithm
- maximum likelihood
- probabilistic inference
- incomplete data
- hidden variables
- principal component analysis
- image registration