Combining SVMS for Classification on Class Imbalanced Data.
Sergey SukhanovAndreas MerentitisChristian DebesJürgen T. HahnAbdelhak M. ZoubirPublished in: SSP (2018)
Keyphrases
- support vector
- feature selection
- support vector machine svm
- support vector machine
- class imbalanced data
- classification algorithm
- generalization ability
- machine learning
- svm classifier
- training set
- feature vectors
- neural networks and support vector machines
- decision trees
- decision boundary
- image classification
- pattern recognition
- classification method
- classification accuracy
- supervised learning
- feature extraction
- multi class
- cost sensitive
- majority voting
- training support vector machines
- rule based classifier
- multi class classification
- pattern classification
- k nearest neighbor
- feature set
- binary classification
- multiclass classification
- bayes classifier
- text classification
- discriminative classifiers
- accurate classifiers
- structured learning
- soft margin
- linear classification
- support vector machine classifiers
- margin maximization
- kernel methods
- machine learning algorithms