Using heavy-tailed distributions to stress-test kernel methods for segregating the .rms that are likely to survive.
Aziz GuergachiPouyan HosseinizadehPublished in: SMC (2009)
Keyphrases
- kernel methods
- heavy tailed distributions
- machine learning
- kernel function
- learning problems
- support vector
- learning tasks
- feature space
- similarity function
- kernel matrices
- kernel matrix
- support vector machine
- kernel parameters
- kernel trick
- neural network
- kernel pca
- kernel learning
- multiple kernel
- reproducing kernel hilbert space
- kernel fisher discriminant analysis
- graph kernels
- learning algorithm