Augmenting cost-SVM with gaussian mixture models for imbalanced classification.
Miao HeTeresa WuAlvin C. SilvaDianna-Yue ZhaoWei QianPublished in: Artif. Intell. Res. (2015)
Keyphrases
- gaussian mixture model
- feature vectors
- support vector machine svm
- support vector
- support vector machine
- cost sensitive
- feature space
- mixture model
- svm classifier
- classification algorithm
- imbalanced datasets
- cost sensitive learning
- class imbalance
- feature selection
- classification accuracy
- imbalanced data
- maximum likelihood criterion
- speaker recognition
- em algorithm
- speaker identification
- multi class
- decision trees
- feature extraction
- pattern recognition
- training set
- density estimation
- machine learning
- decision boundary
- probability density
- class distribution
- cross validation
- naive bayes
- image classification
- training samples
- maximum likelihood
- knn
- supervised learning
- training data
- single class
- model selection