On immersed boundary kernel functions: a constrained quadratic minimization perspective.
Amneet Pal Singh BhallaPublished in: CoRR (2021)
Keyphrases
- kernel function
- kernel methods
- support vector
- support vector machine
- high dimensional feature space
- input space
- feature space
- kernel matrix
- high dimensional
- support vector regression
- gaussian kernels
- svm classifier
- kernel learning
- support vectors
- dot product
- feature maps
- reproducing kernel hilbert space
- polynomial kernels
- feature extraction
- svm classification
- hyperplane
- feature set
- supervised learning
- positive semidefinite
- machine learning
- optimal kernel