A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence.
Giulia ViloneLucas RizzoLuca LongoPublished in: AICS (2020)
Keyphrases
- artificial intelligence
- probabilistic model
- statistical methods
- mathematical model
- theoretical framework
- formal model
- mathematical models
- qualitative and quantitative
- high level
- conceptual model
- statistical models
- theoretical analysis
- experimental data
- classification models
- machine learning methods
- statistical model
- linear models
- genetic algorithm
- case based reasoning
- prior knowledge
- preprocessing
- objective function
- social networks
- computational model
- benchmark datasets
- em algorithm
- intelligent systems
- linear regression
- expert systems
- learning models
- data mining
- predictive model