Fast probabilistic prediction for kernel SVM via enclosing balls.
Nery Riquelme-GranadaKhuong An NguyenZhiyuan LuoPublished in: COPA (2020)
Keyphrases
- support vector
- kernel function
- least squares support vector machine
- kernel methods
- ls svm
- support vector machine
- prediction accuracy
- support vector machine svm
- svm classification
- decision function
- prediction model
- feature space
- kernel parameters
- kernel space
- svm classifier
- kernel machines
- multiple kernel learning
- feature selection
- rbf kernel
- polynomial kernels
- bayesian networks
- multiple kernel
- knn
- generative model
- multi class
- gaussian kernel
- sparse kernel
- machine learning
- support vectors
- prediction error
- linear svm
- kernel pca
- reproducing kernel hilbert space
- optimal parameters
- classification algorithm
- probabilistic model
- neural network
- histogram intersection kernel