Bilateral kernel parameter optimization by risk minimization.
Honghong PengRaghuveer M. RaoPublished in: ICIP (2010)
Keyphrases
- parameter optimization
- risk minimization
- kernel regression
- loss function
- genetic algorithm ga
- differential evolution
- genetic algorithm
- support vector
- parameter settings
- kernel function
- support vector machine
- parameter estimation
- reproducing kernel hilbert space
- hyperparameters
- kernel methods
- feature space
- real time
- evolutionary algorithm
- generalization error
- pid controller
- least squares
- artificial neural networks
- neural network
- model selection
- prior knowledge
- high dimensional
- lower bound
- machine learning