Improved Sparsity of Support Vector Machine with Robustness Towards Label Noise Based on Rescaled α-Hinge Loss with Non-smooth Regularizer.
Manisha SinglaDebdas GhoshK. K. ShuklaPublished in: Neural Process. Lett. (2020)
Keyphrases
- support vector machine
- hinge loss
- soft margin
- label noise
- decision boundary
- loss function
- multi class
- support vector
- training data
- binary classification
- total variation
- active learning
- perceptron algorithm
- semi supervised
- risk minimization
- high dimensional
- machine learning
- dimensionality reduction
- kernel function
- svm classifier
- hyperplane
- feature vectors