Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs.
Edmund DervakosOrfeas Menis-MastromichalakisAlexandros ChortarasGiorgos StamouPublished in: CoRR (2022)
Keyphrases
- machine learning
- expert systems
- decision trees
- machine learning methods
- machine learning algorithms
- knowledge acquisition
- knowledge representation
- feature selection
- machine learning approaches
- domain knowledge
- knowledge base
- pattern recognition
- learning systems
- data mining
- supervised classification
- knowledge engineering
- knowledge discovery
- support vector
- computer vision
- prior knowledge
- learning classifier systems
- classification algorithm
- graph matching
- past experience
- supervised learning
- rule based systems
- data sets
- meta learning
- graph theory
- training data
- inductive learning
- knowledge sharing
- background knowledge
- naive bayes
- information extraction