Cost-sensitive probabilistic predictions for support vector machines.
Sandra Benítez-PeñaRafael BlanqueroEmilio CarrizosaPepa Ramírez-CoboPublished in: Eur. J. Oper. Res. (2024)
Keyphrases
- cost sensitive
- large margin classifiers
- binary classification
- support vector
- multi class
- probability estimates
- confidence weighted
- misclassification costs
- support vector machine
- cost sensitive learning
- cost sensitive classification
- class distribution
- naive bayes
- multi class classification
- active learning
- class imbalance
- bayesian networks
- classification accuracy
- boosting algorithms
- neural network
- cross validation
- support vector machine svm
- loss function
- text classification
- natural language processing
- supervised learning
- small number
- optimal solution
- decision trees
- feature selection
- information retrieval
- data mining
- data sets
- cost sensitive boosting