Kernel Methods for Time Series Classification and Regression.
Mourtadha BadianeMartin O'ReillyPadraig CunninghamPublished in: AICS (2018)
Keyphrases
- kernel methods
- kernel ridge regression
- reproducing kernel hilbert space
- support vector
- kernel function
- mercer kernels
- learning problems
- kernel matrix
- regression model
- machine learning
- support vector regression
- learning tasks
- support vector machine
- kernel matrices
- linear regression
- nearest neighbor
- feature space
- kernel pca
- graph kernels
- regression methods
- kernel trick
- multiple kernel learning
- neural network
- loss function
- kernel fisher discriminant analysis
- face recognition
- multiple kernel
- hilbert space
- feature extraction
- model selection