Evolving Hyperparameters of Support Vector Machines Based on Multi-Scale RBF Kernels.
Tanasanee PhienthrakulBoonserm KijsirikulPublished in: Intelligent Information Processing (2006)
Keyphrases
- support vector
- hyperparameters
- large margin classifiers
- multiscale
- learning machines
- radial basis function
- rbf kernel
- kernel function
- gaussian process
- cross validation
- gaussian processes
- support vector machine
- regularization parameter
- kernel methods
- kernel parameters
- feature selection
- generalization ability
- decision function
- svm classifier
- covariance function
- edge detection
- model selection
- ls svm
- support vectors
- image processing
- data sets
- image segmentation
- wavelet transform
- natural images
- machine learning
- probabilistic model
- prior information
- support vector machine svm