Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms.
S. Sathiya KeerthiPublished in: IEEE Trans. Neural Networks (2002)
Keyphrases
- support vector
- hyperparameters
- iterative algorithms
- model selection
- grid search
- ls svm
- bayesian inference
- cross validation
- decision function
- gaussian processes
- knn
- support vector machine
- kernel function
- machine learning
- support vector machine svm
- maximum likelihood
- lower bound
- training data
- image restoration
- svm classifier
- closed form
- kernel methods
- parameter settings
- noise level
- incomplete data
- upper bound
- learning process
- training set
- image processing