Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods.
Kristiaan PelckmansJohan A. K. SuykensBart De MoorPublished in: Mach. Learn. (2006)
Keyphrases
- kernel methods
- trade off
- reproducing kernel hilbert space
- kernel ridge regression
- kernel matrices
- reproducing kernel
- support vector
- svm training
- learning problems
- kernel function
- machine learning
- support vector machine
- kernel matrix
- feature space
- training process
- tikhonov regularization
- training set
- learning tasks
- kernel trick
- rademacher complexity
- training examples
- parameter selection
- kernel learning
- graph kernels
- stochastic gradient descent
- training samples
- multiple kernel
- model selection
- kernel pca
- dimensionality reduction
- data dependent
- training dataset
- supervised learning