Approximate Inference of Outcomes in Probabilistic Elections.
Batya KenigBenny KimelfeldPublished in: AAAI (2019)
Keyphrases
- approximate inference
- graphical models
- bayesian networks
- factor graphs
- belief propagation
- probabilistic inference
- probabilistic model
- message passing
- exact inference
- gaussian process
- latent variables
- parameter estimation
- variational methods
- conditional random fields
- dynamic bayesian networks
- loopy belief propagation
- belief networks
- expectation propagation
- generative model
- free energy
- conditional probabilities
- pairwise
- graph cuts
- posterior probability
- computer vision
- bayesian framework
- regression model
- least squares
- dynamic programming
- generalized belief propagation