Cost-sensitive Multi-class AdaBoost for Understanding Driving Behavior with Telematics.
Banghee SoJean-Philippe BoucherEmiliano A. ValdezPublished in: CoRR (2020)
Keyphrases
- multi class
- cost sensitive
- cost sensitive learning
- cost sensitive classification
- binary classification
- misclassification costs
- boosting algorithms
- support vector machine
- multi class classification
- object detection
- base classifiers
- pairwise
- multiclass classification
- feature selection
- class distribution
- cost sensitive boosting
- driving behavior
- class imbalance
- error correcting output codes
- multi class boosting
- linear classifiers
- binary classifiers
- data mining
- data sets
- active learning
- feature vectors
- feature space
- support vector
- training data