Global Optimization Employing Gaussian Process-Based Bayesian Surrogates.
Roland PreussUdo von ToussaintPublished in: Entropy (2018)
Keyphrases
- global optimization
- gaussian process
- gaussian processes
- marginal likelihood
- gaussian process regression
- hyperparameters
- bayesian framework
- latent variables
- fully bayesian
- regression model
- model selection
- expectation propagation
- posterior distribution
- bayesian inference
- particle swarm optimization
- approximate inference
- semi supervised
- gaussian process models
- sparse approximations
- covariance function
- bayesian methods
- posterior probability
- cross validation
- probabilistic model
- machine learning
- constrained global optimization
- prior knowledge
- prior information
- non stationary
- simulated annealing
- search space
- bayesian networks