Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality.
Vikas SindhwaniHa Quang MinhAurelie C. LozanoPublished in: UAI (2013)
Keyphrases
- kernel learning
- high dimensional
- kernel function
- dimensionality reduction
- kernel matrix
- support vector regression
- multiple kernel learning
- low dimensional
- kernel methods
- feature space
- regression model
- input space
- semi supervised
- high dimensional data
- nearest neighbor
- high order
- support vector machine
- feature selection
- data points
- model selection
- structure tensor
- linear combination
- feature set
- supervised learning
- pattern recognition