Explaining classifier decisions linguistically for stimulating and improving operators labeling behavior.
Edwin LughoferRoland RichterUlrich NeisslWolfgang HeidlChristian EitzingerThomas RadauerPublished in: Inf. Sci. (2017)
Keyphrases
- decision making
- classification decisions
- training data
- feature space
- data sets
- support vector machine
- learning algorithm
- human behavior
- class labels
- training samples
- feature set
- support vector
- decision trees
- active learning
- decision makers
- feature selection
- individual classifiers
- classification method
- labeling effort
- learning phase
- multi label classification
- bayesian classifier
- linear classifiers
- svm classifier
- image classification
- classification accuracy