Ranking Support Vector Machine with Kernel Approximation.
Kai ChenRongchun LiYong DouZhengfa LiangQi LvPublished in: Comput. Intell. Neurosci. (2017)
Keyphrases
- support vector machine
- kernel function
- polynomial kernels
- kernel methods
- support vector
- svm classification
- feature space
- multi class
- web search
- learning to rank
- svm classifier
- multiple kernel learning
- training data
- feature selection
- support vector machine svm
- ranking algorithm
- ranking functions
- series expansion
- gaussian kernel
- machine learning
- link analysis
- string kernels
- rbf kernel
- lp norm
- histogram intersection kernel
- support vectors
- feature vectors
- input space
- approximation algorithms
- decision boundary
- knn
- classification method
- positive definite
- ranked list
- generalization ability
- binary classification
- approximation error
- reproducing kernel hilbert space
- soft margin
- error bounds
- maximum margin
- nonlinear kernel
- data sets