Improving Imbalanced Dialogue Act Classification Using Cost-Sensitive Learning.
Takaaki MiyagiSatoshi EndoPublished in: SCIS/ISIS (2022)
Keyphrases
- cost sensitive learning
- class imbalance
- imbalanced datasets
- cost sensitive
- class distribution
- cost sensitive classification
- multi class problems
- misclassification costs
- minority class
- decision trees
- active learning
- probability estimation
- image classification
- missing values
- multi class
- feature selection
- binary classification
- feature extraction
- imbalanced data
- rule extraction
- neural network
- support vector
- naive bayes
- feature vectors
- high dimensionality
- binary classification problems
- test set
- feature space
- machine learning