Approximate Inference in Structured Instances with Noisy Categorical Observations.
Alireza HeidariIhab F. IlyasTheodoros RekatsinasPublished in: CoRR (2019)
Keyphrases
- approximate inference
- graphical models
- probabilistic inference
- belief propagation
- exact inference
- parameter estimation
- bayesian networks
- gaussian process
- message passing
- loopy belief propagation
- variational methods
- latent variables
- conditional random fields
- dynamic bayesian networks
- random variables
- expectation propagation
- factor graphs
- structured prediction
- variational approximation
- free energy
- maximum likelihood
- generative model
- model selection
- markov random field
- co occurrence
- least squares
- probability distribution
- active learning
- similarity measure
- three dimensional
- machine learning