Multiobjective Optimization for Model Selection in Kernel Methods in Regression.
Di YouCarlos Fabian Benitez-QuirozAleix M. MartínezPublished in: IEEE Trans. Neural Networks Learn. Syst. (2014)
Keyphrases
- model selection
- multiobjective optimization
- kernel methods
- machine learning
- multi objective
- regression model
- min max
- kernel matrix
- cross validation
- kernel ridge regression
- reproducing kernel hilbert space
- learning problems
- support vector machine
- kernel function
- hyperparameters
- support vector
- learning tasks
- selection criterion
- mixture model
- generalization error
- artificial immune system
- sample size
- evolutionary algorithm
- gaussian process
- feature selection
- feature space
- swarm intelligence
- statistical inference
- data sets
- artificial neural networks
- gaussian processes
- genetic algorithm
- support vector regression
- generalization bounds
- parameter selection
- optimization algorithm
- particle swarm optimization
- simulated annealing
- worst case