K-hyperplane Hinge-Minimax Classifier.
Margarita OsadchyTamir HazanDaniel KerenPublished in: ICML (2015)
Keyphrases
- hyperplane
- linear classifiers
- training samples
- feature space
- decision boundary
- support vector
- svm classifier
- support vector machine
- binary classifiers
- separating hyperplane
- maximal margin
- data points
- kernel function
- minimum error
- linear svm
- incremental learning algorithm
- training set
- feature selection
- input space
- principal components
- classification procedure
- training data
- linearly separable
- supervised learning
- high dimensional
- weight vector
- high dimensional feature space
- normal vectors
- linear separability
- multi class
- training process
- support vector machine svm
- low dimensional
- dimensionality reduction
- worst case
- pairwise
- feature extraction
- learning algorithm
- machine learning