Explanation sets: A general framework for machine learning explainability.
Rubén R. FernándezIsaac Martín de DiegoJavier M. MoguerzaFrancisco HerreraPublished in: Inf. Sci. (2022)
Keyphrases
- machine learning
- explanation based learning
- machine learning methods
- inductive learning
- learning algorithm
- artificial intelligence
- pattern recognition
- data analysis
- learning tasks
- learning problems
- machine learning algorithms
- unsupervised learning
- model selection
- text mining
- supervised learning
- information extraction
- active learning
- convex sets
- supervised machine learning
- data mining
- machine learning approaches
- inductive logic programming
- version spaces
- statistical methods
- transfer learning
- knowledge acquisition
- knowledge discovery
- knowledge representation
- multiscale
- training data
- decision trees