Complexity of interior-point methods for linear optimization based on a new trigonometric kernel function.
M. Reza PeyghamiS. Fathi HafshejaniL. ShirvaniPublished in: J. Comput. Appl. Math. (2014)
Keyphrases
- kernel function
- interior point methods
- quadratic programming
- semidefinite
- support vector machine
- semidefinite programming
- kernel matrix
- optimal kernel
- support vector
- feature space
- kernel methods
- input space
- linear systems
- linear programming
- convex optimization
- primal dual
- kernel learning
- linear program
- hyperplane
- support vector regression
- high dimensional
- image processing
- kernel matrices
- convex sets
- computationally intensive
- machine learning
- knn
- special case
- training data
- decision trees
- feature set
- support vector machine svm