Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality.
Vikas SindhwaniHa Quang MinhAurelie C. LozanoPublished in: CoRR (2014)
Keyphrases
- kernel learning
- high dimensional
- kernel function
- dimensionality reduction
- kernel matrix
- multiple kernel learning
- support vector regression
- low dimensional
- feature space
- kernel methods
- semi supervised
- regression model
- dimension reduction
- high dimensional data
- structure tensor
- input space
- high order
- data points
- nearest neighbor
- support vector machine
- pattern recognition
- multiscale
- image segmentation