Kernel support vector machine classifiers with ℓ0-norm hinge loss.
Rongrong LinYingjia YaoYulan LiuPublished in: Neurocomputing (2024)
Keyphrases
- unlabeled data
- support vector machine classifiers
- hinge loss
- reproducing kernel hilbert space
- pairwise constraints
- support vector machine
- domain adaptation
- decision boundary
- semi supervised
- kernel function
- loss function
- kernel methods
- training data
- soft margin
- support vector
- binary classification
- learning algorithm
- learning theory
- convex optimization
- multi class
- euclidean space
- risk minimization
- kernel matrix
- gaussian process
- feature space
- density estimation
- machine learning
- objective function
- line search
- potential functions
- svm classifier
- learning problems
- classification accuracy
- decision trees
- input space