Sampling Techniques for Kernel Methods.
Dimitris AchlioptasFrank McSherryBernhard SchölkopfPublished in: NIPS (2001)
Keyphrases
- kernel methods
- learning problems
- kernel function
- svm training
- kernel matrix
- machine learning
- feature space
- support vector
- multiple kernel learning
- kernel pca
- reproducing kernel hilbert space
- support vector machine
- sample size
- kernel ridge regression
- kernel trick
- high dimensional feature space
- similarity function
- kernel principal component analysis
- learning frameworks
- kernel fisher discriminant analysis
- random sampling
- data sets
- multiple kernel
- kernel matrices
- active learning