Parameter optimization in the regularized kernel minimum noise fraction transformation.
Allan Aasbjerg NielsenJacob S. VestergaardPublished in: IGARSS (2012)
Keyphrases
- parameter optimization
- regularized kernel
- genetic algorithm ga
- differential evolution
- genetic algorithm
- parameter settings
- parameter estimation
- noise level
- support vector machine
- signal to noise ratio
- noise reduction
- missing data
- machine learning
- pid controller
- feature space
- decision trees
- dynamic model
- least squares
- evolutionary algorithm
- hyperparameters
- feature selection