Multivariate convex support vector regression with semidefinite programming.
Yongqiao WangHe NiPublished in: Knowl. Based Syst. (2012)
Keyphrases
- support vector regression
- semidefinite programming
- semidefinite
- regression model
- positive semidefinite
- convex programming
- quadratically constrained quadratic
- linear programming
- kernel function
- interior point methods
- kernel learning
- kernel matrix
- primal dual
- support vector
- convex optimization
- maximum margin
- support vector machine
- support vector machine svm
- data sets
- convex relaxation
- kernel methods
- metric learning
- computer vision
- convex hull
- prediction model
- input space