Learning low-rank kernel matrices.
Brian KulisMátyás A. SustikInderjit S. DhillonPublished in: ICML (2006)
Keyphrases
- low rank
- kernel matrices
- kernel matrix
- missing data
- linear combination
- kernel learning
- convex optimization
- reinforcement learning
- low rank matrix
- learning tasks
- kernel methods
- learning algorithm
- high dimensional data
- higher order
- learning process
- high order
- kernel function
- supervised learning
- semi supervised
- discriminative learning