Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification.
Chihao ZhangYiling Elaine ChenShihua ZhangJingyi Jessica LiPublished in: CoRR (2021)
Keyphrases
- information theoretic
- multi class classification
- classification accuracy
- support vector
- minimum description length
- mutual information
- multi class
- information theory
- feature selection
- relative entropy
- training data
- training set
- binary classification
- pairwise
- naive bayes
- multi task learning
- upper bound
- class labels
- similarity measure
- probabilistic model
- active learning
- model selection
- training examples
- data sets