AUC Maximization with K-hyperplane.
Majdi KhalidIndrakshi RayHamidreza ChitsazPublished in: CoRR (2017)
Keyphrases
- hyperplane
- support vector
- linear classifiers
- logistic regression
- training samples
- feature space
- data points
- model selection
- input space
- linearly separable
- class distribution
- classification accuracy
- support vector machine
- feature selection
- learning algorithm
- decision boundary
- naive bayes
- decision trees
- principal components
- kernel function
- classification procedure
- incremental learning algorithm
- convex hull
- training set
- objective function
- svm classifier
- locality sensitive
- maximal margin
- training data
- linear separability
- neural network
- image classification
- kernel space