The role of a layer in deep neural networks: a Gaussian Process perspective.
Oded Ben-DavidZohar RingelPublished in: CoRR (2019)
Keyphrases
- gaussian process
- neural network
- gaussian processes
- bayesian framework
- regression model
- model selection
- gaussian process regression
- hyperparameters
- latent variables
- approximate inference
- gaussian process classification
- dynamical model
- semi supervised
- gaussian process models
- covariance function
- expectation propagation
- learning algorithm
- prior knowledge
- artificial neural networks
- random sampling
- sparse approximations
- pairwise
- bayesian inference
- cross validation
- back propagation
- non stationary
- marginal likelihood