Tuning kernel parameters for SVM based on expected square distance ratio.
Shen YinJiapeng YinPublished in: Inf. Sci. (2016)
Keyphrases
- kernel parameters
- support vector
- tuning parameters
- support vector machine
- gaussian processes
- kernel function
- kernel methods
- kernel machines
- distance measure
- svm classifier
- training process
- distance function
- support vector machine svm
- regularization parameter
- machine learning
- active learning
- learning machines
- feature selection
- loss function
- distance metric
- neural network
- training set
- euclidean distance
- data sets
- image classification
- similarity measure
- prior knowledge
- high dimensional