Doubly stochastic large scale kernel learning with the empirical kernel map.
Nikolaas SteenbergenSebastian SchelterFelix BießmannPublished in: CoRR (2016)
Keyphrases
- kernel learning
- doubly stochastic
- kernel function
- kernel matrix
- multiple kernel learning
- kernel methods
- support vector regression
- kernel machines
- poisson process
- dimensionality reduction
- semi supervised
- weight matrix
- optimal kernel
- learning tasks
- machine learning
- feature space
- pairwise constraints
- multi task learning
- maximum a posteriori
- high dimensional
- metric learning
- input space
- linear combination
- distance metric