Learning vector quantization classifiers for ROC-optimization.
Thomas VillmannMarika KadenWieland HermannMichael BiehlPublished in: Comput. Stat. (2018)
Keyphrases
- learning vector quantization
- neural network
- self organizing maps
- bankruptcy prediction
- roc curve
- training data
- optimization problems
- optimization algorithm
- feature selection
- training set
- data mining
- roc analysis
- receiver operating characteristic
- training samples
- global optimization
- test set
- supervised classification
- precision recall
- support vector
- classification method
- optimization method
- linear classifiers
- naive bayes
- classifier combination
- machine learning