Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation.
Shaogao LvJunhui WangJiankun LiuYong LiuPublished in: NeurIPS (2021)
Keyphrases
- multi kernel
- gaussian kernels
- learning rate
- kernel function
- multiple kernel learning
- gaussian kernel
- support vector
- sparse representation
- feature selection
- support vector machine svm
- support vector machine
- reproducing kernel hilbert space
- least squares
- high dimensional feature space
- high dimensional
- kernel methods
- convergence rate
- knn
- feature space
- hyperplane
- learning algorithm
- scale space
- support vectors
- convergence speed
- multi class
- kernel learning
- binary classification
- text classification