Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning.
Ivano LauriolaMirko PolatoFabio AiolliPublished in: ICANN (2) (2017)
Keyphrases
- kernel learning
- dot product
- kernel function
- gaussian kernels
- support vector
- kernel matrix
- multiple kernel learning
- feature space
- support vector regression
- kernel methods
- decision boundary
- high dimensional feature space
- semi supervised
- high dimensional
- reproducing kernel hilbert space
- machine learning
- pairwise constraints
- learning tasks
- support vector machine
- gaussian kernel
- distance metric
- linear combination