Exploring the Uncertainty of Approximated Fitness Landscapes via Gaussian Process Realisations.
Melike D. KaratasMarc GoodfellowJonathan E. FieldsendPublished in: SSCI (2023)
Keyphrases
- gaussian process
- gaussian processes
- fitness landscape
- approximate inference
- gaussian process regression
- bayesian framework
- regression model
- gaussian process classification
- hyperparameters
- model selection
- latent variables
- covariance function
- gaussian process models
- semi supervised
- sparse approximations
- genetic algorithm
- evolutionary algorithm
- expectation propagation
- linear combination
- genetic programming
- machine learning
- fitness function
- feature selection
- lower bound
- probabilistic model
- upper bound
- signal to noise ratio
- prior information