Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification.
Jiaqi ZhangCheng-Lin LiuXiaoyi JiangPublished in: GbRPR (2023)
Keyphrases
- feature extraction
- kernel machines
- kernel learning
- kernel matrix
- feature space
- dimensionality reduction
- kernel function
- kernel methods
- multiple kernel learning
- low rank
- metric learning
- feature selection
- support vector regression
- input space
- semi supervised
- model selection
- learning tasks
- support vector
- reproducing kernel hilbert space
- pairwise
- training samples
- support vectors
- multi task learning
- multi class
- similarity measure
- support vector machine