A wide neighborhood interior-point algorithm for linear optimization based on a specific kernel function.
Behrouz KheirfamMasoumeh HaghighiPublished in: Period. Math. Hung. (2019)
Keyphrases
- kernel function
- interior point algorithm
- kernel methods
- kernel machines
- support vector
- optimal kernel
- support vector machine
- feature space
- input space
- polynomial kernels
- support vectors
- kernel learning
- high dimensional
- interior point methods
- svm classifier
- hyperplane
- multiple kernel learning
- reproducing kernel hilbert space
- linear combination
- feature set
- kernel matrix
- quadratic programming
- dimensionality reduction
- semi supervised