Tuning L1-SVM Hyperparameters with Modified Radius Margin Bounds and Simulated Annealing.
Javier AcevedoSaturnino Maldonado-BascónPhilip SiegmannSergio Lafuente-ArroyoPedro Gil-JiménezPublished in: IWANN (2007)
Keyphrases
- hyperparameters
- support vector
- simulated annealing
- gaussian process
- cross validation
- gaussian processes
- support vector machine
- lower bound
- grid search
- upper bound
- decision function
- model selection
- regularization parameter
- kernel function
- kernel parameters
- support vectors
- svm classifier
- genetic algorithm
- generalization ability
- ls svm
- feature selection
- worst case
- evolutionary algorithm
- support vector machine svm
- support vector regression
- bayesian framework
- incomplete data
- multi class
- knn
- pairwise
- training set