An ordinal kernel trick for a computationally efficient support vector machine.
Yara RizkNicholas MitriMariette AwadPublished in: IJCNN (2014)
Keyphrases
- kernel trick
- computationally efficient
- support vector machine
- maximum margin
- kernel methods
- kernel function
- structured output
- feature space
- kernel pca
- support vector
- feature selection
- svm classifier
- hyperplane
- high dimensional feature space
- kernel learning
- dimensionality reduction
- feature vectors
- multi class
- input space
- support vector machine svm
- infinite dimensional
- machine learning
- multiple kernel learning
- discriminative learning
- structured prediction
- regression algorithm
- kernel matrix
- dimensionality reduction methods
- learning algorithm
- support vectors
- binary classification
- support vector regression
- learning problems
- k nearest neighbor
- training set
- sparse coding
- nonlinear models
- low dimensional
- knn
- training data
- decision boundary
- multi task
- discriminant analysis
- feature extraction