Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression.
Anshuman PradhanKyra H. AdamsVenkat ChandrasekaranZhen LiuJohn T. ReagerAndrew M. StuartMichael J. TurmonPublished in: CoRR (2023)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- gaussian process regression
- neural network
- covariance function
- gaussian process models
- bayesian modeling
- model selection
- sparse approximations
- gaussian process classification
- approximate inference
- bayesian framework
- latent variables
- bayesian nonparametric
- expectation propagation
- dynamical models
- hyperparameters
- conditional distribution
- back propagation
- artificial neural networks
- dynamical model
- semi supervised
- pairwise
- support vector
- higher order
- prior knowledge
- machine learning