Kernel matrix approximation for learning the kernel hyperparameters.
Mathieu FauvelPublished in: IGARSS (2012)
Keyphrases
- kernel matrix
- kernel learning
- kernel function
- kernel methods
- hyperparameters
- learning tasks
- support vector
- supervised learning
- model selection
- learning process
- learning algorithm
- low rank
- reinforcement learning
- markov random field
- em algorithm
- parameter estimation
- cross validation
- singular value decomposition
- feature space
- support vectors