Approximate Inference through Sequential Measurements of Likelihoods Accounts for Hick's Law.
Xiang LiLuigi AcerbiWei Ji MaPublished in: CogSci (2019)
Keyphrases
- approximate inference
- graphical models
- probabilistic inference
- belief propagation
- exact inference
- gaussian process
- bayesian networks
- random variables
- parameter estimation
- latent variables
- message passing
- loopy belief propagation
- variational methods
- factor graphs
- conditional random fields
- maximum likelihood
- dynamic bayesian networks
- expectation propagation
- structured prediction
- posterior probability
- probabilistic model
- regression model
- image processing
- pairwise
- markov random field
- model selection
- generalized belief propagation