Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference.
Vincent AdamJames HensmanManeesh SahaniPublished in: MLSP (2016)
Keyphrases
- gaussian process
- covariance function
- expectation propagation
- variational inference
- gaussian processes
- gaussian process regression
- model selection
- approximate inference
- hyperparameters
- regression model
- bayesian framework
- latent variables
- semi supervised
- non stationary
- gaussian process classification
- signal processing
- variational bayes
- bayesian inference
- gaussian process models
- belief networks
- probabilistic inference
- image processing
- dynamic bayesian networks
- cross validation
- markov chain monte carlo
- closed form
- support vector
- bayesian networks