Recurrent neural network-induced Gaussian process.
Xiang SunSeongyoon KimJung-Il ChoiPublished 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