Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning.
Alfonso OrtegaJulian FiérrezAythami MoralesZilong WangMarina de la CruzCésar Luis AlonsoTony RibeiroPublished in: Comput. (2021)
Keyphrases
- machine learning
- artificial intelligence
- knowledge representation
- inductive bias
- inductive concept learning
- inductive learning
- inductive logic programming
- machine learning methods
- case based reasoning
- programming paradigms
- feature construction
- pattern recognition
- explanation based learning
- data mining
- programming language
- natural language processing
- learning algorithm
- decision trees
- knowledge discovery
- learning systems
- expert systems
- computational intelligence
- text classification
- machine learning algorithms
- learning tasks
- information extraction
- programming environment
- development environment
- concept learning
- feature selection
- natural language
- machine learning approaches
- data analysis
- symbolic representation
- object oriented programming
- symbolic data
- active learning
- knowledge acquisition
- data sets