GPflow: A Gaussian Process Library using TensorFlow.
Alexander G. de G. MatthewsMark van der WilkTom NicksonKeisuke FujiiAlexis BoukouvalasPablo León-VillagráZoubin GhahramaniJames HensmanPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- regression model
- bayesian framework
- model selection
- latent variables
- gaussian process classification
- approximate inference
- semi supervised
- hyperparameters
- dynamical model
- covariance function
- gaussian process models
- expectation propagation
- sparse approximations
- image segmentation
- cross validation
- machine learning
- probabilistic model
- support vector
- parameter estimation
- expectation maximization
- level set
- marginal likelihood
- fully bayesian