Scalable Dual Coordinate Descent for Kernel Methods.
Zishan ShaoAditya DevarakondaPublished in: CoRR (2024)
Keyphrases
- kernel trick
- kernel methods
- kernel learning
- multiple kernel learning
- kernel function
- kernel pca
- feature space
- learning problems
- kernel matrix
- support vector
- machine learning
- high dimensional feature space
- support vector machine
- reproducing kernel hilbert space
- learning tasks
- logistic regression
- multiple kernel
- learning frameworks
- multi task
- graph kernels
- primal dual
- kernel matrices
- knn