Extrapolative Bayesian Optimization with Gaussian Process and Neural Network Ensemble Surrogate Models.
Yee-Fun LimChee Koon NgU. S. VaitesswarKedar HippalgaonkarPublished in: Adv. Intell. Syst. (2021)
Keyphrases
- back propagation
- neural network ensemble
- gaussian process
- gaussian processes
- neural network
- marginal likelihood
- expectation propagation
- regression model
- bayesian framework
- fuzzy logic
- learning algorithm
- model selection
- hyperparameters
- semi supervised
- latent variables
- bayesian inference
- bayesian methods
- posterior distribution
- competitive learning
- em algorithm
- bayesian networks