Deriving the Kernel from Training Data.
Stefano MerlerGiuseppe JurmanCesare FurlanelloPublished in: MCS (2007)
Keyphrases
- training data
- data sets
- decision trees
- kernel methods
- kernel function
- training set
- test data
- test set
- classification accuracy
- kernel space
- mutual subspace method
- training instances
- component analysis
- training dataset
- learning algorithm
- feature space
- training examples
- domain knowledge
- sparse kernel
- support vector
- kernel density estimation
- kernel pca
- supervised learning
- gaussian processes
- training process
- generalization error
- input space
- kernel matrix
- reproducing kernel hilbert space
- graph kernels
- labeled data
- learned from training data
- unlabeled data
- linear combination