Parameter Optimization using high-dimensional Bayesian Optimization.
David YenicelikPublished in: CoRR (2020)
Keyphrases
- parameter optimization
- high dimensional
- genetic algorithm ga
- differential evolution
- genetic algorithm
- random search
- parameter estimation
- parameter settings
- support vector machine
- low dimensional
- maximum likelihood
- pid controller
- hyperparameters
- real time
- higher order
- bayesian inference
- neural network
- dimensionality reduction
- simulated annealing
- optimization algorithm
- image reconstruction
- parameter space
- feature selection