Hyper-parameter search in support vector machines using PSO with cellular fitness approximation.
Shinichi YamadaKourosh NeshatianPublished in: SSCI (2017)
Keyphrases
- support vector
- hyperparameters
- search algorithm
- genetic algorithm
- learning machines
- particle swarm optimization pso
- closed form
- model selection
- search space
- particle swarm optimization
- fitness function
- large margin classifiers
- cross validation
- maximum likelihood
- parameter settings
- genetic programming
- sample size
- bayesian inference
- random sampling
- particle swarm optimizer
- feature selection
- em algorithm
- maximum a posteriori
- pso algorithm
- generalization ability
- support vector machine