Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification.
Hossein MoosaeiAhmad MousaviMilan HladíkZheming GaoPublished in: CoRR (2021)
Keyphrases
- binary classification
- support vector machine
- multi class
- support vector
- learning problems
- cost sensitive
- multi class classification
- multi label
- generalization error
- prediction accuracy
- training data
- kernel methods
- class imbalance
- semi supervised learning
- machine learning
- feature selection
- ensemble methods
- maximum margin
- binary classifiers
- svm classifier
- machine learning algorithms
- k nearest neighbor
- training set
- support vector machine svm
- knn
- feature space
- multiple kernel learning
- kernel function
- dimensionality reduction
- feature vectors
- bayesian networks
- image segmentation