Bayesian learning and evolutionary parameter optimization.
Thomas RaggPublished in: AI Commun. (2002)
Keyphrases
- bayesian learning
- parameter optimization
- genetic algorithm
- model selection
- hyperparameters
- parameter estimation
- posterior distribution
- genetic algorithm ga
- differential evolution
- support vector machine
- parameter settings
- cross validation
- evolutionary algorithm
- pid controller
- least squares
- neural network
- fitness function
- particle swarm optimization
- bayesian framework
- latent variables
- prior information
- upper bound
- image processing
- multi objective