Probabilistic Programming with Gaussian Process Memoization.
Ulrich SchaechtleBen ZinbergAlexey RadulKostas StathisVikash K. MansinghkaPublished in: CoRR (2015)
Keyphrases
- gaussian process
- gaussian processes
- bayesian framework
- latent variables
- probabilistic model
- model selection
- regression model
- semi supervised
- gaussian process regression
- approximate inference
- hyperparameters
- gaussian process classification
- generative model
- posterior probability
- dynamical model
- covariance function
- fully bayesian
- sparse approximations
- data mining
- cross validation
- graphical models
- gaussian process models
- image processing