-norm multiple kernel learning with low-rank kernels.
Alain RakotomamonjySukalpa ChandaPublished in: Neurocomputing (2014)
Keyphrases
- multiple kernel learning
- low rank
- linear combination
- trace norm
- lp norm
- group lasso
- norm regularization
- multi task
- kernel learning
- multiple kernel
- matrix completion
- kernel matrices
- low rank matrix
- semi supervised
- kernel matrix
- matrix factorization
- semi supervised learning
- small number
- missing data
- kernel methods
- convex relaxation
- high order
- convex optimization
- singular value decomposition
- elastic net
- kernel function
- metric learning
- high dimensional data
- multiple features
- feature selection
- learning tasks
- recommender systems