Message Passing-Based Inference in the Gamma Mixture Model.
Albert PodusenkoBart van ErpDmitry BagaevIsmail SenözBert de VriesPublished in: MLSP (2021)
Keyphrases
- mixture model
- message passing
- sum product algorithm
- probabilistic inference
- factor graphs
- inference in graphical models
- em algorithm
- sum product
- belief propagation
- expectation maximization
- gaussian mixture model
- approximate inference
- loopy belief propagation
- junction tree
- max product
- distributed systems
- generative model
- dirichlet process
- probabilistic model
- exact inference
- model selection
- maximum likelihood
- graphical models
- unsupervised learning
- markov random field
- probability density function
- parameter estimation
- graph cuts
- object recognition
- language model
- dynamic bayesian networks
- maximum a posteriori
- stereo matching
- bayesian networks