Gradient Optimization for multiple kernel's parameters in support vector machines classification.
Alberto VillaMathieu FauvelJocelyn ChanussotPaolo GambaJón Atli BenediktssonPublished in: IGARSS (4) (2008)
Keyphrases
- support vector
- multiple kernel
- support vector machine
- classification accuracy
- kernel methods
- generalization ability
- learning machines
- svm classifier
- cross validation
- feature vectors
- feature selection
- optimal kernel
- decision trees
- feature space
- multi class
- multiple kernel learning
- kernel learning
- support vector regression
- machine learning
- loss function
- linear combination
- image classification
- data sets
- class labels
- kernel function
- training examples
- hyperplane
- classification models
- training samples
- binary classification
- support vectors
- text classification
- training data
- distance metric learning
- feature extraction