Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks.
Cheol Young ParkKathryn Blackmond LaskeyPaulo C. G. CostaShou MatsumotoPublished in: CoRR (2018)
Keyphrases
- approximate inference
- gaussian mixture
- bayesian networks
- graphical models
- probabilistic inference
- exact inference
- closed form
- em algorithm
- expectation maximization
- linear gaussian
- parameter estimation
- probabilistic model
- belief propagation
- gaussian mixture model
- dynamic bayesian networks
- covariance matrix
- probability density function
- message passing
- conditional probabilities
- mixture model
- probability distribution
- latent variables
- density estimation
- gaussian process
- kl divergence
- computer vision
- markov random field
- maximum likelihood
- conditional random fields
- information retrieval