Randomized Kernel Methods for Least-Squares Support Vector Machines.
M. AndrecutPublished in: CoRR (2017)
Keyphrases
- kernel methods
- least squares support vector machine
- ls svm
- support vector machine
- support vector
- kernel matrix
- learning problems
- statistical learning theory
- kernel function
- machine learning
- least squares
- feature space
- kernel pca
- multiple kernel learning
- learning tasks
- reproducing kernel hilbert space
- kernel trick
- generalization ability
- multi class
- variable selection
- svm classifier
- knn
- image processing