Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
M. Carmen GarridoPedro E. López-de-TeruelAlberto RuizPublished in: CoRR (2011)
Keyphrases
- probabilistic inference
- conditional probabilities
- mixture model
- graphical models
- bayesian networks
- gaussian mixture
- context specific independence
- approximate inference
- influence diagrams
- weighted model counting
- probabilistic reasoning
- probabilistic model
- efficient inference
- bayesian belief networks
- belief networks
- message passing
- probability distribution
- linear combination
- variable elimination
- uncertain data
- expectation maximization
- exact inference
- probability density function
- supervised learning
- feature extraction
- elimination algorithm
- generative model
- belief propagation
- random variables
- junction tree
- description logics
- em algorithm
- learning algorithm