Bayesian Optimisation vs. Input Uncertainty Reduction.
Juan UngreddaMichael PearceJürgen BrankePublished in: ACM Trans. Model. Comput. Simul. (2022)
Keyphrases
- decision theory
- dempster shafer
- bayesian networks
- posterior probability
- input data
- maximum likelihood
- inherent uncertainty
- optimisation algorithm
- bayesian inference
- uncertain data
- data driven
- evolutionary algorithm
- incomplete information
- generative model
- support vector machine
- user input
- reduction method
- bayesian estimation
- website
- bayesian analysis
- genetic algorithm
- database