Asymptotic properties of multiclass support vector machine under high dimensional settings.
Kento EgashiraPublished in: Commun. Stat. Simul. Comput. (2024)
Keyphrases
- multi class
- asymptotic properties
- support vector machine
- high dimensional
- feature space
- fixed point
- low dimensional
- multi class classification
- multiclass problems
- kernel function
- support vector machine svm
- feature selection
- support vector
- binary classification
- svm classifier
- cost sensitive
- dimensionality reduction
- generalization ability
- binary classifiers
- multiclass classification
- data points
- input space
- high dimensional data
- feature vectors
- multiple classes
- multiclass learning
- decision boundary
- machine learning
- variable selection
- high dimensionality
- training set
- training data
- knn
- perceptron algorithm
- error correcting output codes
- base classifiers
- hyperplane
- model selection
- pairwise
- learning algorithm