Event-Triggered Time-Varying Bayesian Optimization.
Paul BrunzemaAlexander von RohrFriedrich SolowjowSebastian TrimpePublished in: CoRR (2022)
Keyphrases
- optimization algorithm
- event detection
- optimization problems
- bayesian networks
- neural network
- optimization method
- data driven
- optimization process
- global optimization
- maximum likelihood
- discrete optimization
- machine learning
- real time
- event driven
- bayesian estimation
- monte carlo sampling
- bayesian decision
- bayesian inference
- artificial neural networks
- case study
- information retrieval
- data sets