Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction.
Michele CossalterRong YanLu ZhengPublished in: ICML (2011)
Keyphrases
- support vector
- kernel function
- polynomial kernels
- least squares support vector machine
- kernel methods
- prediction accuracy
- support vector machine
- kernel parameters
- real world
- multiple kernel learning
- decision function
- kernel trick
- feature space
- support vector machine svm
- ls svm
- knn
- svm classification
- kernel space
- support vectors
- kernel machines
- maximum margin
- rbf kernel
- sparse kernel
- high dimension
- svm classifier
- multi class
- gaussian kernel
- standard svm
- series expansion
- kernel matrix
- hyperplane
- prediction model
- feature selection
- radial basis function neural network
- feature extraction
- training data
- training set
- artificial neural networks
- image classification
- input space
- gaussian kernels
- generalization ability
- string kernels
- linear svm
- positive definite
- support vector regression
- binary classification