Iteratively refining SVMs using priors.
Enric Junqué de FortunyTheodoros EvgeniouDavid MartensFoster J. ProvostPublished in: IEEE BigData (2015)
Keyphrases
- support vector
- classification using support vector machines
- multi class
- knn
- bayesian framework
- kernel function
- feature selection
- training support vector machines
- support vector machine svm
- support vector machine classifiers
- structured learning
- svm classifier
- data sets
- hyperplane
- sparse kernel
- maximum margin
- generalization ability
- support vectors
- binary classification
- machine learning
- support vector machine
- prior knowledge
- training set
- majority voting
- maximum a posteriori
- statistical learning theory
- face recognition
- feature extraction
- learned from training data
- large margin classifiers
- polynomial kernels
- svm training
- high dimensional
- prior model
- feature ranking
- multiple kernel learning
- gene selection
- text categorization