Jointly Optimize Positive and Negative Saliencies for Black Box Classifiers.
Hyungsik JungYoungrock OhJeonghyung ParkMin Soo KimPublished in: ICPR Workshops (3) (2020)
Keyphrases
- support vector machine
- black box
- positive and negative
- support vector
- training instances
- training data
- feature selection
- negative samples
- training set
- extracted features
- black boxes
- white box
- decision rules
- positive or negative
- decision trees
- hybrid systems
- test cases
- feature vectors
- positive and negative examples
- test set
- feature set
- white box testing
- integration testing
- neural network
- machine learning algorithms
- naive bayes
- training samples
- meta learning
- positive examples
- classifier ensemble
- class labels
- training examples
- semi supervised
- control system
- pattern recognition
- data mining