Bayesian Kernel Methods.
Alexander J. SmolaBernhard SchölkopfPublished in: Machine Learning Summer School (2002)
Keyphrases
- kernel methods
- kernel function
- support vector
- learning problems
- feature space
- support vector machine
- machine learning
- kernel matrices
- learning tasks
- similarity function
- maximum likelihood
- kernel matrix
- bayesian inference
- kernel pca
- multiple kernel
- kernel ridge regression
- neural network
- kernel learning
- high dimensional feature space
- kernel trick
- kernel fisher discriminant analysis
- special case
- input space
- training data
- learning frameworks