Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts.
Shounak DattaSayak NagSankha Subhra MullickSwagatam DasPublished in: CoRR (2017)
Keyphrases
- small disjuncts
- class imbalance
- support vector
- feature selection
- learning machines
- cost sensitive
- kernel function
- binary classification
- class distribution
- error prone
- training examples
- support vector machine
- active learning
- ensemble learning
- boosting algorithms
- soft margin
- high dimensionality
- generalization ability
- classification accuracy
- cross validation
- multi class
- learning algorithm
- concept drift
- loss function
- model selection
- misclassification costs
- base classifiers
- hyperplane
- ensemble methods
- training data
- text categorization
- feature extraction
- multi class classification
- support vectors
- binary classifiers
- svm classifier
- feature space
- pairwise
- feature vectors
- generalization error
- k nearest neighbor
- unsupervised learning
- benchmark datasets
- machine learning