Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging.
Chris HinrichsVikas SinghJiming PengSterling C. JohnsonPublished in: NIPS (2012)
Keyphrases
- kernel learning
- kernel matrices
- multiple kernel learning
- kernel matrix
- kernel based learning methods
- kernel function
- kernel methods
- optimal kernel
- gaussian kernels
- support vector regression
- semi supervised
- low rank
- semidefinite program
- multiple kernel
- linear combination
- pairwise constraints
- base kernels
- feature selection
- reproducing kernel hilbert space
- input space
- learning tasks
- support vector
- binary classification
- metric learning
- multi task
- multi class
- machine learning