A brief overview of kernel methods with prior information.
Saiji FuShiding SunXinfeng WangDalian LiuPublished in: ITQM (2021)
Keyphrases
- prior information
- kernel methods
- kernel function
- bayesian inference
- prior knowledge
- support vector machine
- learning problems
- support vector
- machine learning
- feature space
- reproducing kernel hilbert space
- hyperparameters
- kernel matrix
- kernel ridge regression
- data sets
- multiple kernel learning
- graph kernels
- kernel learning
- kernel pca
- kernel matrices
- special case
- maximum margin
- feature vectors
- positive semidefinite
- data mining