Recurrent neural network-induced Gaussian process.

Xiang Sun Seongyoon Kim Jung-Il Choi

Published in: Neurocomputing (2022)

Keyphrases

gaussian process
recurrent neural networks
gaussian processes
gaussian process regression
regression model
neural network
feed forward
hyperparameters

bayesian framework
model selection
semi supervised
approximate inference
recurrent networks
gaussian process classification
covariance function

reservoir computing
artificial neural networks
latent variables
complex valued
gaussian process models
echo state networks
expectation propagation

sparse approximations
bayesian inference
random sampling
incremental learning
cross validation
sample size
higher order