Assessing Approximate Inference for Binary Gaussian Process Classification.
Malte KussCarl Edward RasmussenPublished in: J. Mach. Learn. Res. (2005)
Keyphrases
- gaussian process classification
- approximate inference
- expectation propagation
- gaussian process
- graphical models
- belief propagation
- parameter estimation
- latent variables
- exact inference
- probabilistic inference
- message passing
- variational methods
- gaussian processes
- loopy belief propagation
- density estimation
- bayesian inference
- bayesian networks
- bayesian framework
- regression model
- conditional random fields
- markov chain monte carlo
- dynamic bayesian networks
- model selection
- free energy
- hyperparameters
- graph cuts
- probabilistic model
- higher order
- least squares
- bayesian methods
- markov random field
- machine learning
- dynamic programming
- stereo matching