Kernel functions based on triplet comparisons.
Matthäus KleindessnerUlrike von LuxburgPublished in: NIPS (2017)
Keyphrases
- kernel function
- support vector
- kernel methods
- feature space
- input space
- support vector machine
- support vector regression
- kernel matrix
- feature maps
- kernel learning
- hyperplane
- high dimensional
- svm classifier
- gaussian kernels
- high dimensional feature space
- optimal kernel
- dot product
- feature selection
- reproducing kernel hilbert space
- support vectors
- learning problems
- similarity measure
- data sets
- multiple kernel learning
- svm classification
- polynomial kernels
- representer theorem