Learning the Kernel Matrix with Semidefinite Programming.
Gert R. G. LanckrietNello CristianiniPeter L. BartlettLaurent El GhaouiMichael I. JordanPublished in: J. Mach. Learn. Res. (2004)
Keyphrases
- semidefinite programming
- kernel matrix
- kernel learning
- kernel methods
- reinforcement learning
- metric learning
- learning tasks
- linear programming
- semidefinite
- learning algorithm
- feature space
- active learning
- kernel function
- learning problems
- positive semidefinite
- support vectors
- low rank
- k nearest neighbor
- supervised learning
- principal components
- primal dual
- least squares
- machine learning
- data sets