Information-Theoretic Visual Explanation for Black-Box Classifiers.
Jihun YiEunji KimSiwon KimSungroh YoonPublished in: CoRR (2020)
Keyphrases
- information theoretic
- black box
- information theory
- mutual information
- black boxes
- theoretic framework
- information bottleneck
- support vector
- decision trees
- information theoretic measures
- jensen shannon divergence
- test cases
- training data
- white box
- relative entropy
- white box testing
- integration testing
- feature selection
- training set
- naive bayes
- multi modality
- entropy measure
- data sets
- pattern recognition
- bregman divergences
- visual features
- machine learning algorithms
- feature set
- multi class
- multiple features
- similarity measure
- neural network
- distributional clustering
- test set