Semantic Queries Explaining Opaque Machine Learning Classifiers.
Jason LiartisEdmund DervakosOrfeas Menis-MastromichalakisAlexandros ChortarasGiorgos StamouPublished in: DAO-XAI (2021)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- machine learning approaches
- semantic query
- supervised classification
- query processing
- feature selection
- decision trees
- response time
- data mining
- semantic information
- query language
- database
- user queries
- training data
- database queries
- query evaluation
- range queries
- web search engines
- natural language
- feature set
- learning problems
- support vector
- semantic web
- text classification
- learning classifier systems
- active learning
- model selection
- support vector machine
- semantic features
- training set
- svm classifier
- pattern recognition
- textual entailment
- multiple classifier systems
- multiple classifiers
- learning algorithm
- relational databases
- information extraction
- semantic annotation
- multi class
- learning tasks
- retrieval systems
- information retrieval systems
- naive bayes