On the Consistency of Kernel Methods with Dependent Observations.
Pierre-François MassianiSebastian TrimpeFriedrich SolowjowPublished in: CoRR (2024)
Keyphrases
- kernel methods
- kernel function
- kernel matrix
- support vector
- feature space
- learning problems
- support vector machine
- machine learning
- reproducing kernel hilbert space
- learning tasks
- multiple kernel learning
- multiple kernel
- similarity function
- kernel parameters
- kernel principal component analysis
- kernel trick
- kernel ridge regression
- kernel pca
- graph kernels
- high dimensional feature space
- kernel matrices
- kernel based clustering
- learning frameworks
- positive semidefinite
- gaussian kernel
- feature vectors
- decision trees