Learning the Kernel Matrix with Low-Rank Multiplicative Shaping.
Tomer LevinboimFei ShaPublished in: AAAI (2012)
Keyphrases
- low rank
- kernel matrix
- kernel learning
- linear combination
- learning algorithm
- missing data
- kernel matrices
- learning process
- kernel function
- convex optimization
- kernel methods
- matrix factorization
- learning problems
- learning tasks
- model selection
- feature space
- input space
- singular value decomposition
- ls svm
- semidefinite programming
- low rank matrix
- reinforcement learning