Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms.
Stefan LessmannRobert StahlbockSven F. CronePublished in: IC-AI (2005)
Keyphrases
- hyperparameters
- support vector
- learning machines
- genetic algorithm
- cross validation
- model selection
- gaussian process
- closed form
- parameter optimization
- gaussian processes
- random sampling
- bayesian inference
- em algorithm
- support vector machine
- kernel function
- regularization parameter
- sample size
- incremental learning
- maximum likelihood
- neural network
- feature selection
- noise level
- bayesian framework
- maximum a posteriori
- data sets
- prior information
- artificial neural networks
- missing values
- genetic programming
- simulated annealing
- decision function
- fitness function
- higher order
- evolutionary algorithm
- image segmentation
- generalization ability
- differential evolution
- decision trees
- image processing